WhipFlash [TM]: wearable environmental control system for predicting and cooling hot flashes

ABSTRACT

This invention is a sleep environment control system which uses wearable technology with physiological sensors to predict when a person will have a hot flash and to proactively provide localized cooling or accelerated airflow for that person for a limited time to alleviate the adverse effects of that hot flash. In an example, a physiological sensor can be a body temperature sensor, skin conductance sensor, or EEG sensor. This system can reduce interruptions of a person&#39;s sleep due to hot flashes and improve their quality of life.

CROSS-REFERENCE TO RELATED APPLICATIONS

This patent application claims the priority benefit of U.S. ProvisionalPatent Application No. 61/991,172 entitled “Wearable Technology forSleep Environment Modification” by Robert A. Connor of Sleepnea LLCfiled on May 9, 2014. The entire contents of this related applicationare incorporated herein by reference.

FEDERALLY SPONSORED RESEARCH

Not Applicable

SEQUENCE LISTING OR PROGRAM

Not Applicable

BACKGROUND

Field of Invention

This invention relates to wearable technology for local environmentcontrol to alleviate the adverse effects of hot flashes.

Introduction and Review of the Prior Art

A hot flash is a sudden and transitory sensation of increased bodytemperature and/or a change in intra-body temperature differential. Itis often accompanied by flushed skin and sweating as blood vessels neara person's skin surface dilate. Hot flashes are a frequent symptom ofmenopause and adversely affect a large percentage of women. Hot flashescan have significant negative impacts on a person's quality of life andhealth. One of the ways in which hot flashes can negatively impact aperson's quality of life and health is by interfering with the person'ssleep. There are at least two aspects of hot flashes during a person'ssleep which are particularly frustrating and challenging to address.

The first challenge is that hot flashes are transitory. If a persontends to be hot all night long, then that person can activate room-wideair conditioning all night long and/or sleep with fewer insulatinglayers all night long. If a person tends to be cold all night long, thenthat person can activate an electric heating blanket all night longand/or sleep with fewer insulating layers all night long. However, if aperson is subject to unpredictable and transitory cycles of increasedand then decreased body temperature throughout the night, then theperson may be left with the unsatisfactory strategy of tossing blanketsoff and on, turning a fan on and off, or some other intermittent actionwhich interrupts their sleep. An ideal system to address hot flashesduring sleep should be able to: detect and/or predict the occurrence ofa hot flash; and detect and/or predict when the flash ends. Such anideal system should automatically trigger a temporary body coolingdevice and then stop it after an optimal duration of time.

The second challenge is that, during sleep, localized cooling is morechallenging than localized heating. It can be relatively easy to deliverlocalized heating to a sleeping person's body using an electric blanket,pad, or mattress. Localized conversion of electrical energy to thermalenergy is well established. A minor overall increase in the nettemperature of a room wherein a person is sleeping is generally not aproblem. However, although there are air-conditioned beds and coolingpads in the prior art, it can be more challenging to deliver localizedcooling to a person's body. Many of the air-conditioned beds areintra-room devices which transfer thermal energy from a location nearthe person to the ambient air in the room in which the person issleeping. The operation of an intra-room device causes a net increase inoverall room temperature which can aggravate the negative effects ofsubsequent hot flashes. It becomes tougher and tougher for theintra-room device to cool air near the person with increasingly warmroom air. In contrast, an exo-room device such as a window-mounted airconditioner or central HVAC system can transfer thermal energy outsidethe room. However, the prior art does not seem disclose an integratedsystem which links analysis of data from wearable sensors for hot flashdetection and/or prediction with the controlled operation of an exo-roomdevice in order to selectively cool a sleeping person.

This invention addresses these two challenging aspects of hot flashes bydisclosing a novel system which can alleviate the negative effects ofhot flashes on sleep and quality of life. There are four main categoriesof prior art which are relevant to this novel system. However, none ofthese categories of prior art addresses these two challenging aspects ofhot flashes as thoroughly as the integrated system disclosed herein. Thefirst category of prior art uses body temperature and/or skinconductance sensors to detect when a person is having a hot flash. Thesecond category of prior art uses EEG sensors to detect sleep stagesand/or to evaluate sleep quality. The third category of prior artdiscloses localized heating or cooling of a person using heated and/orair-conditioned blankets, pads, or mattresses. The fourth category ofprior art uses motion sensors and/or wearable technology to adjust ahome environmental control system.

The first category of relevant prior art uses body temperature and/orskin conductance sensors to detect when a person is having a hot flash.Prior art which appears to be in this first category includes: U.S. Pat.No. 8,887,328 (McKlarney, Nov. 18, 2014, “System for Cooling a BodyUseful for Reducing the Effect of Hot Flashes”); and U.S. PatentApplications 20070193278 (Polacek et al., Aug. 23, 2007, “Cooling Deviceand Method”); 20090287063 (Freedman et al., Nov. 19, 2009, “HygrometricDetermination of Hot Flashes”); 20100204764 (Garetz, Aug. 12, 2010,“Method for Treating Hot Flashes Associated with Menopause DuringSleep”); and 20130036549 (McKlarney, Feb. 14, 2013, “System for Coolinga Body Useful for Reducing the Effect of Hot Flashes”); as well as WO2010/093604 (Garetz, Aug. 19, 2010, “Method for Treating Hot FlashesAssociated with Menopause During Sleep”).

The second category of relevant prior art uses EEG sensors to detectsleep stages and/or evaluate sleep quality. Prior art which appears tobe in this second category includes U.S. Pat. No. 4,836,219 (Hobson etal., Jun. 6, 1989, “Electronic Sleep Monitor Headgear”); U.S. Pat. No.5,154,180 (Blanchet et al., Oct. 13, 1992, “Method and Device forDetermining a Subject's Sleep State by Processing anElectroencephalographic Signal”); U.S. Pat. No. 5,335,657 (Terry et al.,Aug. 9, 1994, “Therapeutic Treatment of Sleep Disorder by NerveStimulation”); U.S. Pat. No. 5,800,351 (Mann, Sep. 1, 1998, “ElectrodeSupporting Head Set”); U.S. Pat. No. 5,999,846 (Pardey et al., Dec. 7,1999, “Physiological Monitoring”); U.S. Pat. No. 6,272,378(Baumgart-Schmitt, Aug. 7, 2001, “Device and Method for DeterminingSleep Profiles”); U.S. Pat. No. 7,054,680 (Genger et al., May 30, 2006,“Device for Detecting Electrical Potentials in the Forehead-Area of aPatient”); U.S. Pat. No. 7,158,822 (Payne Jr., Jan. 2, 2007, “ElectrodeHolder, Headwear, and Wire Jacket Adapted for Use in Sleep ApneaTesting”); U.S. Pat. No. 7,189,204 (Ni et al., Mar. 13, 2007, “SleepDetection Using an Adjustable Threshold”); U.S. Pat. No. 7,190,995(Chervin et al., Mar. 13, 2007, “System and Method for Analysis ofRespiratory Cycle-Related EEG Changes in Sleep-Disordered Breathing”);and U.S. Pat. No. 7,204,250 (Burton, Apr. 17, 2007, “Bio-Mask”).

Prior art which appears to be in this second category includes U.S. Pat.No. 7,575,005 (Mumford et al., Aug. 18, 2009, “Mask Assembly withIntegrated Sensors”); U.S. Pat. No. 7,689,274 (Mullen et al., Mar. 30,2010, “Brain-Wave Aware Sleep Management”); U.S. Pat. No. 7,850,723(Magers, Dec. 14, 2010, “Method and Apparatus for Patient TemperatureControl Employing Titration of Therapy Using EEG Signals”); U.S. Pat.No. 7,942,824 (Kayyali et al., May 17, 2011, “Integrated SleepDiagnostic and Therapeutic System and Method”); U.S. Pat. No. 7,992,560(Burton et al., Aug. 9, 2011, “Adaptable Breathing Mask”); U.S. Pat. No.8,069,852 (Burton et al., Dec. 6, 2011, “Method and Apparatus forMaintaining and Monitoring Sleep Quality During TherapeuticTreatments”); U.S. Pat. No. 8,172,766 (Kayyali et al., May 8, 2012,“Integrated Sleep Diagnosis and Treatment Device and Method”); U.S. Pat.No. 8,281,787 (Burton, Oct. 9, 2012, “Bio-Mask with Integral Sensors”);U.S. Pat. No. 8,355,769 (Levendowski et al., Jan. 15, 2013, “System forthe Assessment of Sleep Quality in Adults and Children”); U.S. Pat. No.8,437,843 (Kayyali et al., May 7, 2013, “EEG Data Acquisition Systemwith Novel Features”); U.S. Pat. No. 8,628,462 (Berka et al., Jan. 14,2014, “Systems and Methods for Optimization of Sleep and Post-SleepPerformance”); U.S. Pat. No. 8,639,313 (Westbrook et al, Jan. 28, 2014,“System for the Assessment of Sleep Quality in Adults and Children”);and U.S. Pat. No. 8,784,293 (Berka et al., Jul. 22, 2014, “Systems andMethods for Optimization of Sleep and Post-Sleep Performance”).

Prior art which appears to be in this second category also includes U.S.Patent Applications: 20020165462 (Westbrook et al., Nov. 7, 2002, “SleepApnea Risk Evaluation”); 20040163648 (Burton, Aug. 26, 2004, “Bio-Maskwith Integral Sensors”); 20040254493 (Chervin et al., Dec. 16, 2004,“System and Method for Analysis of Respiratory Cycle-Related EEG Changesin Sleep-Disordered Breathing”); 20050076908 (Lee et al., Apr. 14, 2005,“Autonomic Arousal Detection System and Method”); 20050268916 (Mumfordet al., Dec. 8, 2005, “Mask Assembly with Integrated Sensors”);20060032504 (Burton et al., Feb. 16, 2006, “Adaptable Breathing Mask”);20060258930 (Wu et al., Nov. 16, 2006, “Device for Use in Sleep StageDetermination Using Frontal Electrodes”); 20070112262 (Payne, May 17,2007, “Electrode Holder, Headwear, and Wire Jacket Adapted for Use inSleep Apnea Testing”); 20070249952 (Rubin et al., Oct. 25, 2007,“Systems and Methods for Sleep Monitoring”); 20090062676 (Kruglikov etal., Mar. 5, 2009, “Phase and State Dependent EEG and Brain Imaging”);20100087701 (Berka et al., Apr. 8, 2010, “Systems and Methods forOptimization of Sleep and Post-Sleep Performance”); and 20100099954(Dickinson et al., Apr. 22, 2010, “Data-Driven Sleep Coaching System”);and 20100147304 (Burton, Jun. 17, 2010, “Bio-Mask with IntegralSensors”).

Prior art which appears to be in this second category also includes U.S.Patent Applications: 20100217100 (LeBoeuf et al., Aug. 26, 2010,“Methods and Apparatus for Measuring Physiological Conditions”);20100240982 (Westbrook et al., Sep. 23, 2010, “System for the Assessmentof Sleep Quality in Adults and Children”); 20110295083 (Doelling et al.,Dec. 1, 2011, “Devices, Systems, and Methods for Monitoring, Analyzing,and/or Adjusting Sleep Conditions”); 20120041331 (Burton et al., Feb.16, 2013, “Adaptable Breathing Mask”); 20120179061 (Ramanan et al., Jul.12, 2012, “Detection of Sleep Condition”); 20130046151 (Bsoul et al.,Feb. 21, 2013, “System and Method for Real-Time Measurement of SleepQuality”); 20130056010 (Walker et al., Mar. 7, 2013, “AutonomousPositive Airway Pressure System”); 20130060097 (Rubin, Mar. 7, 2013,“Multi-Modal Sleep System”); 20130131464 (Westbrook et al., May 23,2013, “System for the Assessment of Sleep Quality in Adults andChildren”); 20130303837 (Berka et al., Nov. 14, 2013, “Systems andMethods for Optimization of Sleep and Post-Sleep Performance”); and20130317384 (Le, Nov. 28, 2013, “System and Method for Instructing aBehavior Change in a User”).

The third category of prior art discloses localized heating and/orcooling of a person using heated and/or air-conditioned blankets, pads,or mattresses. Prior art which appears to be in this third categoryincludes U.S. Pat. No. 3,266,064 (Figman, Aug. 16, 1966, “VentilatedMattress-Box Spring Combination”); U.S. Pat. No. 4,132,262 (Wibell, Jan.2, 1979, “Heating and Cooling Blanket”); U.S. Pat. No. 4,777,802 (Feher,Oct. 18, 1988, “Blanket Assembly and Selectively Adjustable Apparatusfor Providing Heated or Cooled Air Thereto”); U.S. Pat. No. 4,884,304(Elkins, Dec. 5, 1989, “Bedding System with Selective Heating andCooling”); U.S. Pat. No. 5,033,136 (Elkins, Jul. 23, 1991, “BeddingSystem with Selective Heating and Cooling”); U.S. Pat. No. 5,097,829(Quisenberry, Mar. 24, 1992, “Temperature Controlled Cooling System”);U.S. Pat. No. 5,165,127 (Nicholson, Nov. 24, 1992, “Heating and CoolingBlanket Apparatus”); U.S. Pat. No. 5,265,599 (Stephenson et al., Nov.30, 1993, “Patient Temperature Control Blanket with Controlled AirDistribution”); U.S. Pat. No. 5,344,436 (Fontenot et al., Sep. 6, 1994,“Localized Heat Transfer Device”); U.S. Pat. No. 5,555,579 (Wu, Sep. 17,1996, “Mattress Assembly with Semiconductor Thermo-Control”); U.S. Pat.No. 5,653,741 (Grant, Aug. 5, 1997, “Heating and Cooling Pad”); and U.S.Pat. No. 5,800,480 (Augustine et al., Sep. 1, 1998, “Support Apparatuswith a Plurality of Thermal Zones Providing Localized Cooling”).

Prior art which appears to be in this third category also includes U.S.Pat. No. 5,837,002 (Augustine et al., Nov. 17, 1998, “Support Apparatuswith Localized Cooling of High-Contact-Pressure Body Surface Areas”);U.S. Pat. No. 5,860,292 (Augustine et al., Jan. 19, 1999, “InflatableThermal Blanket for Convectively Cooling a Body”); U.S. Pat. No.5,894,615 (Alexander, Apr. 20, 1999, “Temperature SelectivelyControllable Body Supporting Pad”); U.S. Pat. No. 5,989,285 (DeVilbisset al., Nov. 23, 1999, “Temperature Controlled Blankets and BeddingAssemblies”); U.S. Pat. No. 6,006,524 (Park, Dec. 28, 1999, “TemperatureController for Bedding”); U.S. Pat. No. 6,033,432 (Augustine et al.,Mar. 7, 2000, “Support Apparatus with a Plurality of Thermal ZonesProviding Localized Cooling”); U.S. Pat. No. 6,210,427 (Augustine etal., Apr. 3, 2001, “Support Apparatus with a Plurality of Thermal ZonesProviding Localized Cooling”); U.S. Pat. No. 6,336,237 (Schmid, Jan. 8,2002, “Mattress with Conditioned Airflow”); U.S. Pat. No. 6,354,099(Bieberich, Mar. 12, 2002, “Cooling Devices with High-Efficiency CoolingFeatures”); U.S. Pat. No. 6,371,976 (Vrzalik et al., Apr. 16, 2002,“Body Temperature Control for Use with Patient Supports”); and U.S. Pat.No. 6,425,527 (Smole, Jul. 30, 2002, “Temperature Control Device forSleeping”).

Prior art which appears to be in this third category also includes U.S.Pat. No. 6,497,720 (Augustine et al., Dec. 24, 2002, “Support Apparatuswith a Plurality of Thermal Zones Providing Localized Cooling”); U.S.Pat. No. 6,523,354 (Tolbert, Feb. 25, 2003, “Cooling Blanket”); U.S.Pat. No. 6,551,348 (Blalock et al., Apr. 22, 2003, “TemperatureControlled Fluid Therapy System”); U.S. Pat. No. 6,969,399 (Schock etal., Nov. 29, 2005, “Apparatus for Altering the Body Temperature of aPatient”); U.S. Pat. No. 7,001,417 (Elkins, Feb. 21, 2006,“Cooling/Heating System”); U.S. Pat. No. 7,037,188 (Schmid et al. May 2,2006, “Systems for Delivering Conditioned Air to Personal BreathingZones”); U.S. Pat. No. 7,100,394 (Bieberich et al., Sep. 5, 2006,“Apparatus to Adapt a Convective Treatment System or Device forCooling”); U.S. Pat. No. 7,303,579 (Schock et al., Dec. 4, 2007,“Apparatus for Altering the Body Temperature of a Patient”); U.S. Pat.No. 7,377,935 (Schock et al., May 27, 2008, “Apparatus for Altering theBody Temperature of a Patient”); U.S. Pat. No. 7,547,320 (Schook et al.,Jun. 16, 2009, “Apparatus for Altering the Body Temperature of aPatient”); and U.S. Pat. No. 7,631,377 (Sanford, Dec. 15, 2009, “BedVentilator Unit”).

Prior art which appears to be in this third category also includes U.S.Pat. No. 7,640,764 (Gammons et al., Jan. 5, 2010, “Portable CoolantSystem”); U.S. Pat. No. 7,666,213 (Freedman, Jr. et al., Feb. 23, 2010,“Apparatus for Altering the Body Temperature of a Patient”); U.S. Pat.No. 7,731,739 (Schock et al., Jun. 8, 2010, “Apparatus for Altering theBody Temperature of a Patient”); U.S. Pat. No. 7,771,461 (Schock et al.,Aug. 10, 2010, “Apparatus for Altering the Body Temperature of aPatient”); U.S. Pat. No. 7,892,271 (Schock et al., Feb. 22, 2011,“Apparatus for Altering the Body Temperature of a Patient”); U.S. Pat.No. 7,950,084 (McKay et al., May 31, 2011, “Multi-Layer Mattress with anAir Filtration Foundation”); U.S. Pat. No. 7,996,936 (Marquette et al.,Aug. 16, 2011, “Operational Schemes for Climate Controlled Beds”); U.S.Pat. No. 8,065,763 (Brykalski et al., Nov. 29, 2011, “Air ConditionedBed”); U.S. Pat. No. 8,181,290 (Brykalski et al., May 22, 2012, “ClimateControlled Bed Assembly”); U.S. Pat. No. 8,182,520 (Schock et al., May22, 2012, “Apparatus for Altering the Body Temperature of a Patient”);and U.S. Pat. No. 8,191,187 (Brykalski et al., Jun. 5, 2012,“Environmentally-Conditioned Topper Member for Beds”).

Prior art which appears to be in this third category also includes U.S.Pat. No. 8,332,975 (Brykalski et al., Dec. 18, 2012, “Climate-ControlledTopper Member for Medical Beds”); U.S. Pat. No. 8,353,069 (Miller, Jan.15, 2013, “Device for Heating, Cooling and Emitting Fragrance intoBedding on a Bed”); U.S. Pat. No. 8,402,579 (Marquette et al., Mar. 26,2013, “Climate Controlled Beds and Methods of Operating the Same”); U.S.Pat. No. 8,414,671 (Augustine et al., Apr. 9, 2013, “Personal AirFiltration Device for Use with Bedding Structure”); U.S. Pat. No.8,418,286 (Brykalski et al., Apr. 16, 2013, “Climate Controlled BedAssembly”); U.S. Pat. No. 8,425,582 (Schock et al., Apr. 23, 2013,“Apparatus for Altering the Body Temperature of a Patient”); U.S. Pat.No. 8,435,277 (Schock et al., May 7, 2013, “Apparatus for Altering theBody Temperature of a Patient”); U.S. Pat. No. 8,671,940 (Allen et al.,Mar. 18, 2014, “Life Support and Microclimate Integrated System andProcess with Internal and External Active Heating”); and U.S. Pat. No.8,887,328 (McKlarney, Nov. 18, 2014, “System for Cooling a Body Usefulfor Reducing the Effect of Hot Flashes”).

Prior art which appears to be in this third category also includes U.S.Patent Applications: 20030079488 (Bieberich, May 1, 2003, “CoolingDevices with High-Efficiency Cooling Features”); 20070193278 (Polacek etal., Aug. 23, 2007, “Cooling Device and Method”); 20070251016 (Feher,Nov. 1, 2007, “Convective Seating and Sleeping Systems”); 20080028536(Hadden-Cook, Feb. 7, 2008, “Mattress with Cooling Airflow”);20080060374 (Gammons et al., Mar. 13, 2008, “Portable Coolant System”);20100011502 (Brykalski et al., Jan. 21, 2010, “Climate Controlled BedAssembly”); 20100204764 (Garetz, Aug. 12, 2010, “Method for Treating HotFlashes Associated with Menopause During Sleep”); and 20110092890(Stryker et al., Apr. 21, 2011, “Microclimate Management System”).

Prior art which appears to be in this third category also includes U.S.Patent Applications: 20110115635 (Petrovski et al., May 19, 2011,“Control Schemes and Features for Climate-Controlled Beds”); 20110184253(Archer et al., Jul. 28, 2011, “Life Support and Microclimate IntegratedSystem and Process with Internal and External Active Heating”);20110289684 (Parish et al., Dec. 1, 2011, “System and Method forThermoelectric Personal Comfort Controlled Bedding”); 20110314837(Parish et al., Dec. 29, 2011, “System and Method for ThermoelectricPersonal Comfort Controlled Bedding”); 20120000207 (Parish et al., Jan.5, 2012, “System and Method for Thermoelectric Personal ComfortControlled Bedding”); 20120017371 (Pollard, Jan. 26, 2012, “BlanketHaving Two Independently Controlled Cooling Zones”); 20120085231(Kristensson et al., Apr. 12, 2012, “Methods and Devices for DisplacingBody Convection and Providing a Controlled Personal Breathing Zone”);20120227182 (Brykalski et al., Sep. 13, 2012, “Climate Controlled BedAssembly”); and 20130031722 (Wong, Feb. 7, 2013, “Air-ConditioningBed”).

Prior art which appears to be in this third category also includes U.S.Patent Applications: 20130036549 (McKlarney, Feb. 14, 2013, “System forCooling a Body Useful for Reducing the Effect of Hot Flashes”);20130042633 (Chestakov, Feb. 21, 2013, “Temperature Control Apparatusand Method for Thermoregulation of a Human Body”); 20130097776(Brykalski et al., Apr. 25, 2013, “Thermally Conditioned Bed Assembly”);20130143480 (Trevelyan, Jun. 6, 2013, “Localised Personal AirConditioning”); 20130227783 (Brykalski et al., Sep. 5, 2013,“Environmentally Conditioned Bed Assembly”); 20140020686 (Kristensson etal., Jan. 23, 2014, “Temperature Controlled Laminair Air Flow Device”);20140201910 (Rand, Jul. 24, 2014, “Tunnel Generating Bed CoolingSystem”); and 20140277308 (Cronise et al., Sep. 18, 2014, “AdaptiveThermodynamic Therapy System”); as well as WO2010093604 (Garetz, Aug.19, 2010, “Method for Treating Hot Flashes Associated with MenopauseDuring Sleep”).

The fourth category of prior art uses motion sensors and/or wearabletechnology to adjust home environmental control systems. Prior art whichappears to be in this fourth category includes: U.S. Pat. No. 8,249,731(Tran et al., Aug. 21, 2012, “Smart Air Ventilation System”); and U.S.Patent Applications 20080058740 (Sullivan et al., Mar. 6, 2008, “SensingArticle for a Home Automation Network”); 20140207292 (Ramagem et al.,Jul. 24, 2014, “Method and System to Control Thermostat UsingBiofeedback”); and 20150057808 (Cook et al., Feb. 26, 2015, “Systems andMethods for Adaptive Smart Environment Automation”).

We also include a fifth category for a variety of prior art which isrelevant, but which does not fall neatly into one of the four maincategories above. Prior art which appears to be in this fifth categoryincludes U.S. Pat. No. 3,928,876 (Starr, Dec. 30, 1975, “Bed withCirculated Air”); U.S. Pat. No. 4,017,921 (Hernandez, Apr. 19, 1977,“Cooling Blanket”); U.S. Pat. No. 4,146,933 (Jenkins et al., Apr. 3,1979, “Conditioned-Air Suit and System”); U.S. Pat. No. 4,523,594(Kuznetz, Jun. 18, 1985, “Stretchable Textile Heat-Exchange Jacket”);U.S. Pat. No. 4,691,762 (Elkins et al., Sep. 8, 1987, “PersonalTemperature Control System”); U.S. Pat. No. 4,859,250 (Buist, Aug. 22,1989, “Thermoelectric Pillow and Blanket”); U.S. Pat. No. 4,939,804(Grant, Jul. 10, 1990, “Bed Ventilating Apparatus and Method”); U.S.Pat. No. 5,086,771 (Molloy, Feb. 11, 1992, “Configured Pad forTherapeutic Cooling Effect”); U.S. Pat. No. 5,241,951 (Mason et al.,Sep. 7, 1993, “Therapeutic Nonambient Temperature Fluid CirculationSystem”); and U.S. Pat. No. 5,320,164 (Szczesuil et al., Jun. 14, 1994,“Body Heating and Cooling Garment”).

Prior art which appears to be in this fifth category also includes U.S.Pat. No. 5,330,519 (Mason et al., Jul. 19, 1994, “Therapeutic NonambientTemperature Fluid Circulation System”); U.S. Pat. No. 5,383,918(Panetta, Jan. 24, 1995, “Hypothermia Reducing Body Exclosure”); U.S.Pat. No. 5,473,783 (Allen, Dec. 12, 1995, “Air Percolating Pad”); U.S.Pat. No. 5,730,120 (Yonkers, Mar. 24, 1998, “Bed Ventilator System”);U.S. Pat. No. 5,948,012 (Mahaffey et al., Sep. 7, 1999, “Cold TherapyDevice”); U.S. Pat. No. 5,956,963 (Lerner, Sep. 28, 1999, “Wrist Coolerfor Relief of Hot Flashes and Similar Symptoms”); U.S. Pat. No.5,956,963 (Lerner, Sep. 28, 1999, “Wrist Cooler for Relief of HotFlashes and Similar Symptoms”); U.S. Pat. No. 5,967,225 (Jenkins, Oct.19, 1999, “Body Heating/Cooling Apparatus”); U.S. Pat. No. 5,991,666(Vought, Nov. 23, 1999, “Sterile Surgical-Thermal Draping System andMethod”); and U.S. Pat. No. 6,109,338 (Butzer, Aug. 29, 2000, “ArticleComprising a Garment or Other Textile Structure for Use In ControllingBody Temperature”).

Prior art which appears to be in this fifth category also includes U.S.Pat. No. 6,171,258 (Karakasoglu et al., Jan. 9, 2001, “Multi-ChannelSelf-Contained Apparatus and Method for Diagnosis of Sleep Disorders”);U.S. Pat. No. 6,468,234 (Van der Loos et al., Oct. 22, 2002,“Sleepsmart”); U.S. Pat. No. 6,718,577 (Li, Apr. 13, 2004, “VentilatedBlanket”); U.S. Pat. No. 6,811,538 (Westbrook et al., Nov. 2, 2004,“Sleep Apnea Risk Evaluation”); U.S. Pat. No. 6,858,068 (Smith et al.,Feb. 22, 2005, “Device for Providing Microclimate Control”); U.S. Pat.No. 6,904,629 (Wu, Jun. 14, 2005, “Bed with Function of Ventilation”);U.S. Pat. No. 6,942,015 (Jenkins, Sep. 13, 2005, “Body Heating/CoolingApparatus”); U.S. Pat. No. 6,993,930 (Blackstone, Feb. 7, 2006, “AirCooling Device”); U.S. Pat. No. 7,089,995 (Koscheyev et al., Aug. 15,2006, “Multi-Zone Cooling/Warming Garment”); and U.S. Pat. No. 7,297,119(Westbrook et al., Nov. 20, 2007, “Sleep Apnea Risk Evaluation”).

Prior art which appears to be in this fifth category also includes U.S.Pat. No. 7,509,692 (Elkins et al., Mar. 31, 2009, “Wearable PersonalCooling and Hydration System”); U.S. Pat. No. 7,565,705 (Elkins et al.,Jul. 28, 2009, “Garment for a Cooling and Hydration System”); U.S. Pat.No. 7,721,349 (Strauss, May 25, 2010, “Flexible Personal EvaporativeCooling System with Warming Potential”); U.S. Pat. No. 7,913,332(Barnhart, Mar. 29, 2011, “Drawn Air Bed Ventilator”); U.S. Pat. No.8,204,786 (Leboeuf et al., Aug. 9, 2012, “Physiological andEnvironmental Monitoring Apparatus and Systems”); U.S. Pat. No.8,216,290 (Shawver et al., Jul. 10, 2012, “Automated TemperatureContrast and Dynamic Pressure Modules for a Hot or Cold Wrap TherapySystem”); U.S. Pat. No. 8,277,496 (Grahn et al., Oct. 2, 2012, “Methodsand Devices for Manipulating the Thermoregulatory Status of a Mammal”);U.S. Pat. No. 8,512,221 (Kaplan et al., Aug. 20, 2013, “AutomatedTreatment System for Sleep”); U.S. Pat. No. 8,663,106 (Stivoric et al.,Mar. 4, 2014, “Non-Invasive Temperature Monitoring Device”); U.S. Pat.No. 8,907,251 (Larsen et al., Dec. 9, 2014, “Personal Thermal RegulatingDevice”); and U.S. Pat. No. 8,948,821 (Newham et al., Feb. 3, 2015,“Notification Based on User Context”).

Prior art which appears to be in this fifth category also includes U.S.Patent Applications: 20020026226 (Ein, Feb. 28, 2002, “TherapeuticApparatus”); 20050027207 (Westbrook et al., Feb. 3, 2005, “Sleep ApneaRisk Evaluation”); 20050240251 (Smith, Oct. 27, 2005, “Apparatus andMethod for Applying Cooling Substances to Pressure Points in the HumanBody”); 20050245839 (Stivoric et al., Nov. 3, 2005, “Non-InvasiveTemperature Monitoring Device”); 20050251913 (McCall et al., Nov. 17,2005, “Portable Padded Air Flow Pouch”); 20060264730 (Stivoric et al.,Nov. 23, 2006, “Apparatus for Detecting Human Physiological andContextual Information”); 20070098769 (Champion, May 3, 2007, “Systemsand Methods for Treating Hot Flashes Associated with Menopause”);20080040839 (Gordon, Feb. 21, 2008, “Flexible Cooling Garment”);20080214949 (Stivoric et al., Sep. 4, 2008, “Systems, Methods, andDevices to Determine and Predict Physiological States of Individuals andto Administer Therapy, Reports, Notifications, and the Like Therefor”);and 20080233368 (Hartmann et al., Sep. 25, 2008, “Articles HavingEnhanced Reversible Thermal Properties and Enhanced Moisture WickingProperties to Control Hot Flashes”).

Prior art which appears to be in this fifth category also includes U.S.Patent Applications: 20090159238 (Ko et al., Jun. 25, 2009, “Cooling andWarming Device”); 20100049008 (Doherty et al., Feb. 25, 2010, “Methodand Apparatus for Assessing Sleep Quality”); 20100084125 (Goldstein etal., Apr. 8, 2010, “Microclimate Control System”); 20100106229 (Gammonset al., Apr. 29, 2010, “Thermal Skull Pads for Coolant System”);20100274332 (Hirakawa, Oct. 28, 2010, “Human Body Cooling Apparatus”);20110015495 (Dothie et al., Jan. 20, 2011, “Method and System forManaging a User's Sleep”); 20120240930 (Kristensson et al., Sep. 27,2012, “Treatment of Asthma, Allergic Rhinitis and Improvement of Qualityof Sleep By Temperature Controlled Laminar Airflow Treatment”);20130066408 (Peardon, Mar. 14, 2013, “Therapeutic Cooling Pillow”);20130154838 (Alameh et al., Jun. 20, 2013, “Adaptive Wearable Device forControlling an Alarm Based on User Sleep State”); and 20130173171(Drysdale et al., Jul. 4, 2013, “Data-Capable Strapband”).

Prior art which appears to be in this fifth category also includes U.S.Patent Applications: 20130254989 (Garcia et al., Oct. 3, 2013, “ClimateControlled Sleeping Space”); 20130338446 (Van Vugt et al., Dec. 19,2013, “Sleep Disturbance Monitoring Apparatus”); 20140156084 (Rahman etal., Jun. 5, 2014, “Data-Capable Band Management in an IntegratedApplication and Network Communication Data Environment”); 20140171132(Ziemianska et al., Jun. 19, 2014, “Method and Apparatus forAutomatically Repeating Alarms and Notifications in Response to DeviceMotion”); 20140171146 (Ma et al., Jun. 19, 2014, “Method and Apparatusfor Automatically Setting Alarms and Notifications”); 20140176335(Brumback et al., Jun. 26, 2014, “Biometric Monitoring Device withContextually or Environmentally-Dependent Display”); and 20140176422(Brumback et al., Jun. 26, 2014, “Biometric Monitoring Device withWrist-Motion Triggered Display”).

Prior art which appears to be in this fifth category also includes U.S.Patent Applications: 20140206327 (Ziemianska et al., Jul. 24, 2014,“Method and Apparatus for Automatically Adjusting the Operation ofNotifications Based on Changes in Physical Activity Level”); 20140222174(Teller et al., Aug. 7, 2014, “Wearable Apparatus to Detect and MonitorSleep and Other Activities”); 20140222734 (Stivoric et al., Aug. 7,2014, “Controlling a Sensory Device Based on the Inferred StateInformation”); 20140232516 (Stivoric et al., Aug. 21, 2014, “Contextualand Presence Sensing to Operate Electronic Devices”); 20140344282(Stivoric et al., Nov. 20, 2014, “Systems, Methods and Devices forDetermining Sleep Quality with Wearable Devices”); 20140358204 (Dickie,Dec. 4, 2014, “Method and Apparatus for Controlling Menopausal HotFlashes”); 20140364770 (Slonneger et al., Dec. 11, 2014,“Accelerometer-Based Sleep Analysis”); and 20150018905 (Nofzinger etal., Jan. 15, 2015, “Apparatus and Method for Modulating Sleep”); aswell as WO 2001/084982 (Schmid, Nov. 15, 2001, “Ventilated SleepDevices”).

One could argue that the combination of all four of the main categoriesof prior art could anticipate at least some aspects of the system toaddress hot flashes which is disclosed herein. This is a judgment calland up to the patent office in the context of evaluating the novelty ofthis patent application. I believe, however, that at least some aspectsof this system are quite useful and novel, even in light of acombination of these four main categories of prior art. The inventiondisclosed herein is a novel, integrated, and interactive sleepenvironment control system which uses wearable technology to predictwhen a person will have a hot flash and proactively provides localizedcooling for that person for a limited time to alleviate the effects ofthat hot flash. This can reduce interruptions of the person's sleep dueto hot flashes and improve their quality of life.

SUMMARY OF THIS INVENTION

This invention is a sleep environment control system which uses wearabletechnology with physiological sensors to predict when a person will havea hot flash and to proactively provide localized cooling or acceleratedairflow for that person for a limited time to alleviate the adverseeffects of that hot flash. In an example, a physiological sensor can bea body temperature sensor, skin conductance sensor, or EEG sensor. Thissystem can reduce interruptions of a person's sleep due to hot flashesand improve their quality of life.

In an example, this invention can be embodied in a system for changingthe temperature of air in close proximity to the body of a sleepingperson which comprises: (a) a wearable attachment member that isconfigured to be worn by a person while they sleep; (b) a wearablesensor which is part of, or attached to, the wearable attachment member,wherein this wearable sensor collects data concerning the person'scurrent body temperature and/or data used to predict the person's futurebody temperature; (c) a power source which is part of, or attached to,the wearable attachment member; (d) a wireless data transmitter which ispart of, or attached to, the attachment member; (e) a wireless datareceiver, wherein data from the wearable sensor is transmitted from thewireless data transmitter to the wireless data receiver; (f) a dataprocessing unit which processes data from the wearable sensor; and (g) acooling and/or heating member whose operation changes the temperature ofair in close proximity to the sleeping person in response to dataconcerning the person's current body temperature and/or data used topredict the person's future body temperature.

In an example, this invention can be embodied in a system, device, andmethod that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that collects data concerning a selectedphysiological parameter or anatomic function of a person; asleep-environment-modifying component which changes at least oneselected characteristic of the person's sleep environment; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

BRIEF INTRODUCTION TO THE FIGURES

FIGS. 1 through 87 show examples of systems which use wearabletechnology to modify a person's sleep environment. These examples do notlimit the full generalizability of the claims.

FIG. 1 shows a system for modifying a person's sleep environment whichchanges bed temperature based on blood pressure.

FIG. 2 shows a system for modifying a person's sleep environment whichchanges garment temperature based on blood pressure.

FIG. 3 shows a system for modifying a person's sleep environment whichfilters electronic communication based on EEG signals.

FIG. 4 shows a system for modifying a person's sleep environment whichchanges the mode of electronic communication based on EEG signals.

FIG. 5 shows a system for modifying a person's sleep environment whichchanges an electronic communication auto-response based on EEG signals.

FIG. 6 shows a system for modifying a person's sleep environment whichchanges airflow from a fan based on EEG signals.

FIG. 7 shows a system for modifying a person's sleep environment whichchanges airflow from a window air conditioner based on EEG signals.

FIG. 8 shows a system for modifying a person's sleep environment whichchanges airflow from a HVAC system based on EEG signals.

FIG. 9 shows a system for modifying a person's sleep environment whichchanges airflow from a laminar airflow mechanism based on EEG signals.

FIG. 10 shows a system for modifying a person's sleep environment whichchanges airflow from a fan based on a wearable electromagnetic energysensor.

FIG. 11 shows a system for modifying a person's sleep environment whichchanges airflow from a window air conditioner based on a wearableelectromagnetic energy sensor.

FIG. 12 shows a system for modifying a person's sleep environment whichchanges airflow from a HVAC system based on a wearable electromagneticenergy sensor.

FIG. 13 shows a system for modifying a person's sleep environment whichchanges the firmness of a bed based on a wearable electromagnetic energysensor.

FIG. 14 shows a system for modifying a person's sleep environment whichchanges ambient light based on EEG signals.

FIG. 15 shows a system for modifying a person's sleep environment whichchanges a person's air source based on EEG signals.

FIG. 16 shows a system for modifying a person's sleep environment whichchanges a person's air pressure based on EEG signals.

FIG. 17 shows a system for modifying a person's sleep environment whichchanges bed temperature based on a wearable electromagnetic energysensor.

FIG. 18 shows a system for modifying a person's sleep environment whichchanges the temperature of air from a HVAC system based on a wearableelectromagnetic energy sensor.

FIG. 19 shows a system for modifying a person's sleep environment whichchanges airflow from a fan based on a wearable moisture sensor.

FIG. 20 shows a system for modifying a person's sleep environment whichchanges airflow from a HVAC system based on a wearable moisture sensor.

FIG. 21 shows a system for modifying a person's sleep environment whichchanges airflow from a laminar airflow mechanism based on a wearablemoisture sensor.

FIG. 22 shows a system for modifying a person's sleep environment whichchanges the humidity of air from a window air conditioner based on awearable moisture sensor.

FIG. 23 shows a system for modifying a person's sleep environment whichchanges the humidity of air from a HVAC system based on a wearablemoisture sensor.

FIG. 24 shows a system for modifying a person's sleep environment whichchanges the insulation value of a blanket based on a wearable moisturesensor.

FIG. 25 shows a system for modifying a person's sleep environment whichchanges the porosity of a blanket based on a wearable moisture sensor.

FIG. 26 shows a system for modifying a person's sleep environment whichchanges the porosity of a garment on a wearable moisture sensor.

FIG. 27 shows a system for modifying a person's sleep environment whichchanges a person's air source based on a wearable light energy sensor.

FIG. 28 shows a system for modifying a person's sleep environment whichchanges a person's air pressure based on a wearable light energy sensor.

FIG. 29 shows a system for modifying a person's sleep environment whichchanges the temperature of air from a HVAC system based on a wearablelight energy sensor.

FIG. 30 shows a system for modifying a person's sleep environment whichchanges an electronic communication auto-response based on a motionsensor.

FIG. 31 shows a first system for modifying a person's sleep environmentwhich changes the mode of electronic communication based on a motionsensor.

FIG. 32 shows a second system for modifying a person's sleep environmentwhich changes the mode of electronic communication based on a motionsensor.

FIG. 33 shows a third system for modifying a person's sleep environmentwhich changes the mode of electronic communication based on a motionsensor.

FIG. 34 shows a system for modifying a person's sleep environment whichchanges airflow from a fan based on a motion sensor.

FIG. 35 shows a system for modifying a person's sleep environment whichchanges airflow from a window air conditioner based on a motion sensor.

FIG. 36 shows a system for modifying a person's sleep environment whichchanges airflow from a HVAC system based on a motion sensor.

FIG. 37 shows a system for modifying a person's sleep environment whichchanges the firmness of a bed based on a motion sensor.

FIG. 38 shows a system for modifying a person's sleep environment whichchanges the insulation value of a blanket based on a motion sensor.

FIG. 39 shows a system for modifying a person's sleep environment whichchanges ambient lighting based on a motion sensor.

FIG. 40 shows a system for modifying a person's sleep environment whichdeploys an acoustic partition based on a motion sensor.

FIG. 41 shows a system for modifying a person's sleep environment whichchanges a person's air pressure based on an oxygen saturation sensor.

FIG. 42 shows a system for modifying a person's sleep environment whichchanges the temperature of air from an HVAC system based on an oxygensaturation sensor.

FIG. 43 shows a system for modifying a person's sleep environment whichchanges a person's air source based on an oxygen saturation sensor.

FIG. 44 shows a system for modifying a person's sleep environment whichchanges the porosity of a mattress based on an oxygen saturation sensor.

FIG. 45 shows a system for modifying a person's sleep environment whichchanges the porosity of a blanket based on an oxygen saturation sensor.

FIG. 46 shows a system for modifying a person's sleep environment whichchanges a person's air pressure based on an oxygen saturation sensor.

FIG. 47 shows a system for modifying a person's sleep environment whichsends an alarm based on an oxygen saturation sensor.

FIG. 48 shows a system for modifying a person's sleep environment whichsends an alarm based on a cardiac function monitor.

FIG. 49 shows a system for modifying a person's sleep environment whichchanges bed temperature based on a cardiac function monitor.

FIG. 50 shows a system for modifying a person's sleep environment whichsends a communication based on a pulmonary function monitor.

FIG. 51 shows a system for modifying a person's sleep environment whichchanges air filtration based on a pulmonary function monitor.

FIG. 52 shows a system for modifying a person's sleep environment whichchanges airflow from a HVAC system based on a pulmonary functionmonitor.

FIG. 53 shows a system for modifying a person's sleep environment whichchanges a person's breathable airflow based on a pulmonary functionmonitor.

FIG. 54 shows a system for modifying a person's sleep environment whichchanges the porosity of a mattress based on a pulmonary functionmonitor.

FIG. 55 shows a system for modifying a person's sleep environment whichchanges the porosity of a blanket based on a pulmonary function monitor.

FIG. 56 shows a system for modifying a person's sleep environment whichchanges a person's air source based on a pulmonary function monitor.

FIG. 57 shows a system for modifying a person's sleep environment whichsounds an alarm based on a pulmonary function monitor.

FIG. 58 shows a first system for modifying a person's sleep environmentwhich changes airflow from a laminar airflow mechanism system based on asnoring sensor.

FIG. 59 shows a second system for modifying a person's sleep environmentwhich changes airflow from a laminar airflow mechanism system based on asnoring sensor.

FIG. 60 shows a system for modifying a person's sleep environment whichchanges the lateral slope of a bed based on a snoring sensor.

FIG. 61 shows a system for modifying a person's sleep environment whichchanges the longitudinal slope of a bed based on a snoring sensor.

FIG. 62 shows a system for modifying a person's sleep environment whichvibrates a bed based on a snoring sensor.

FIG. 63 shows a system for modifying a person's sleep environment whichchanges a person's air pressure based on a snoring sensor.

FIG. 64 shows a system for modifying a person's sleep environment withsound cancelling based on a snoring sensor.

FIG. 65 shows a system for modifying a person's sleep environment withsound masking based on a snoring sensor.

FIG. 66 shows a system for modifying a person's sleep environment whichchanges bed temperature based on a snoring sensor.

FIG. 67 shows a “smooch and snore—couch no more” system for modifying aperson's sleep environment which deploys an acoustic partition based ona snoring sensor.

FIG. 68 shows a first system for modifying a person's sleep environmentwhich changes airflow from a fan based on a wearable thermal energysensor.

FIG. 69 shows a second system for modifying a person's sleep environmentwhich changes airflow from a fan based on a wearable thermal energysensor.

FIG. 70 shows a system for modifying a person's sleep environment whichchanges airflow from a laminar airflow mechanism based on a wearablethermal energy sensor.

FIG. 71 shows a system for modifying a person's sleep environment whichchanges airflow from a window air conditioner based on a wearablethermal energy sensor.

FIG. 72 shows a first system for modifying a person's sleep environmentwhich changes airflow from a HVAC system based on a wearable thermalenergy sensor.

FIG. 73 shows a second system for modifying a person's sleep environmentwhich changes airflow from a HVAC system based on a wearable thermalenergy sensor.

FIG. 74 shows a system for modifying a person's sleep environment whichchanges the thickness of a blanket based on a wearable thermal energysensor.

FIG. 75 shows a system for modifying a person's sleep environment whichchanges the porosity of a blanket based on a wearable thermal energysensor.

FIG. 76 shows a system for modifying a person's sleep environment whichchanges the porosity of a mattress based on a wearable thermal energysensor.

FIG. 77 shows a system for modifying a person's sleep environment whichchanges the porosity of a garment based on a wearable thermal energysensor.

FIG. 78 shows a system for modifying a person's sleep environment whichautomatically opens a window based on a wearable thermal energy sensor.

FIG. 79 shows a first system for modifying a person's sleep environmentwhich changes bed temperature based on a wearable thermal energy sensor.

FIG. 80 shows a second system for modifying a person's sleep environmentwhich changes bed temperature based on a wearable thermal energy sensor.

FIG. 81 shows a system for modifying a person's sleep environment whichchanges the temperature of air from a window air conditioner based on awearable thermal energy sensor.

FIG. 82 shows a system for modifying a person's sleep environment whichchanges the temperature of air from a HVAC system based on a wearablethermal energy sensor.

FIG. 83 shows a system which changes the temperature of air in proximityto a sleeping person based on data from a wearable thermal energysensor, using an intra-room cooling and/or heating member.

FIG. 84 shows a system which changes the temperature of air in proximityto a sleeping person based on data from a wearable thermal energysensor, using a window-mounted air conditioner.

FIG. 85 shows a system which changes the temperature of air in proximityto a sleeping person based on data from a wearable thermal energysensor, using a central HVAC system.

FIG. 86 shows a system which changes airflow in proximity to a sleepingperson based on data from a wearable thermal energy sensor, using a fan.

FIG. 87 shows a system which changes airflow in proximity to a sleepingperson based on data from a wearable thermal energy sensor via aninteractive spousal engagement mechanism.

DETAILED DESCRIPTION OF THE FIGURES

FIGS. 1 through 87 show several examples of how this invention can beembodied in a system, device, and method that uses wearable technologyto collect data for automatic modification of a person's sleepenvironment. These examples do not limit the full generalizability ofthe claims.

In an example, this invention can be embodied in a system, device, andmethod that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that collects data concerning a selectedphysiological parameter or anatomic function of a person; asleep-environment-modifying component which changes at least oneselected characteristic of the person's sleep environment; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

In various examples, the wearable-sensor component of this invention canbe selected from the group consisting of: a blood pressure sensor; anECG sensor or other sensor measuring electromagnetic energy from (ortransmitted through) a person's heart; an EEG sensor or other sensormeasuring electromagnetic energy from (or transmitted through) aperson's brain; a sensor measuring electromagnetic energy from (ortransmitted through) a person's wrist, hand, or arm; a sensor measuringelectromagnetic energy from (or transmitted through) a person's torso; asensor measuring electromagnetic energy from (or transmitted through)another portion of a person's body; an electrical conductivity,impedance, or resistance sensor; a skin moisture sensor or body moisturelevel sensor; a sensor measuring the quantity or spectrum of lightabsorbed by a person's body; a sensor measuring the quantity or spectrumof light reflected from a person's body; an accelerometer, gyroscope, orother motion sensor; a oxygen saturation sensor; a pulse and/or heartrate sensor; a respiratory or pulmonary function sensor; a microphone orother sound sensor; a snoring sensor; and a thermistor, other skintemperature sensor, or other body temperature sensor. In an example, thewearable-sensor component of this invention can be in kinetic,electromagnetic, optical, fluid, gaseous, and/or chemical communicationwith a person's body

In various examples, the wearable-sensor component of this invention canbe incorporated into one or more of the following wearable devices: awrist band, smart watch, watch phone, smart bracelet, armband, amulet,smart finger ring, electronically-functional finger ring, artificialfinger nail or other device worn on the wrist, hand, or arm; an earring,ear bud, ear plug, hearing aid, pair of headphones, or other ear-worndevice; electronically-functional pajamas, smart shirt, smart pants,underpants, briefs, undershirt, bra, socks, ankle strap, ankle bracelet,or other smart clothing or garment; a respiratory mask, nasal pillows,or other face-worn device to direct breathable gas into a person's noseand/or mouth; an electronically-functional cap, hat, head band, hairband, or hair clip; a wearable EEG monitor; an electronically-functionalskin patch, adhesive patch, flexible bandage, or tattoo; a smart belt,torso strap, knee tube, or elbow tube; a wearable ECG monitor; a smartbutton, electronically-functional button, pendant, bead, neck chain,necklace, dog tag, or medallion; a dental appliance, dental insert,dental implant, artificial tooth, tongue insert or attachment, and/orupper-palate attachment; and an electronically-functional contact lens,eye mask, glasses, or other electronically-functional eyewear.

In various examples, the wearable-sensor component of this invention canbe attached directly to a person's body or can be incorporated into anarticle of clothing that is worn by the person using one or moremechanisms selected from the group consisting of: adhesive, armband,bangle, belt, bracelet, buckle, button, chain, channel in a garment,clamp, clasp, clip, elastic band, elastic garment, eyewear, gluing, hookand eye, incorporation into a bandage, incorporation into a tattoo,knitting, magnet, melting, necklace, piercing, pin, pocket, pocket in agarment, pouch, ring, sewing, smart watch, snap, one or more strands,strap, suture, tape, tensile member, textile channel, textile fibers,thermal bonding, tubular garment, waist band, weaving, wrist band, yarn,and zipper. In various examples, the wearable-sensor component of thisinvention can be configured to be worn on, or attached to, a part of aperson's body that is selected from the group consisting of: wrist (oneor both), hand (one or both), or finger; neck or throat; eyes (directlysuch as via contact lens or indirectly such as via eyewear); mouth, jaw,lips, tongue, teeth, or upper palate; arm (one or both); waist, abdomen,or torso; nose; ear; head or hair; and ankle or leg.

In an example, the wearable-sensor component of this invention can be athermal energy sensor. In an example, the wearable-sensor component ofthis invention can be selected from the group consisting of: thermistor,thermometer, skin temperature sensor, and thermoluminescence sensor. Inan example, the wearable-sensor component of this invention can be amotion sensor and/or force sensor. In an example, the wearable-sensorcomponent of this invention can be selected from the group consistingof: accelerometer (single axis, dual-axial, tri-axial, or othermulti-axial), other inertial sensor, gyroscope, inclinometer, tiltsensor, strain gauge, goniometer, stretch sensor, elastomeric sensor,resistive bend sensor, potentiometer, kinematic sensor, torque sensor,pressure sensor, force sensor, flow sensor, vibration sensor, and othermotion or force sensor.

In an example, the wearable-sensor component of this invention can be anelectromagnetic energy sensor. In an example, the wearable-sensorcomponent of this invention can be selected from the group consistingof: voltmeter, conductivity sensor, skin conductance sensor, resistancesensor, variable resistance sensor, piezoelectric sensor, piezoresistivesensor, impedance sensor, skin impedance sensor, variable impedancesensor, piezocapacitive sensor, RF sensor, galvanic skin response (GSR)sensor, Hall-effect sensor, magnetometer, magnetic field sensor,wearable EM brain activity monitor, electroencephalography (EEG) sensoror monitor, electrogastrographic monitor, EOG sensor, electromyography(EMG) sensor, muscle function monitor, action potential sensor, neuralimpulse monitor, neural monitor, neurosensor, and other electromagneticenergy sensor. In an example, the wearable-sensor component of thisinvention can be a cardiovascular monitor. In an example, thewearable-sensor component of this invention can be selected from thegroup consisting of: blood pressure monitor, heart rate monitor, pulserate monitor, pulse sensor, blood flow monitor, cardiac monitor,electrocardiogram (ECG) sensor or monitor, or other heart monitor.

In an example, the wearable-sensor component of this invention can be alight energy sensor and/or spectroscopy sensor. In an example, thewearable-sensor component of this invention can be selected from thegroup consisting of: optical sensor, optoelectronic sensor,photoelectric sensor, light intensity sensor, light-spectrum-analyzingsensor, spectral analysis sensor, spectrometry sensor, spectrophotometersensor, spectroscopic sensor, spectroscopy sensor, mass spectrometrysensor, Raman spectroscopy sensor, white light spectroscopy sensor,near-infrared spectroscopy sensor, infrared spectroscopy sensor,ultraviolet spectroscopy sensor, backscattering spectrometry sensor, ionmobility spectroscopic sensor, infrared light sensor, laser sensor,ultraviolet light sensor, fluorescence sensor, chemiluminescence sensor,color sensor, chromatography sensor, analytical chromatography sensor,gas chromatography sensor, and variable-translucence sensor. In anexample, light energy can be analyzed with respect to one or moreparameters selected from the group consisting of: intensity, amplitude,frequency, range, phase, and waveform. In an example, an optical sensorcan emit and/or detect white light, infrared light, or ultravioletlight. In an example, the wearable-sensor component of this inventioncan be an imaging sensor. In an example, the wearable-sensor componentof this invention can be selected from the group consisting of: stillcamera, video camera, and other imaging sensor.

In an example, the wearable-sensor component of this invention can be amoisture sensor or humidity sensor. In an example, the wearable-sensorcomponent of this invention can be a chemical sensor or biologicalsensor. In an example, the wearable-sensor component of this inventioncan be selected from the group consisting of: pH level sensor,photochemical sensor, biochemical sensor, electrochemical sensor,chemiresistor, blood oximetry sensor, tissue oximetry sensor,chemoreceptor sensor, electroosmotic sensor, electrophoresis sensor,electroporation sensor, glucose monitor, antibody-based receptor,artificial olfactory sensor, amino acid sensor, cholesterol sensor, fatsensor, gas sensor, microbial sensor, nucleic acid-based sensor,osmolality sensor, sodium sensor, and other biochemical sensor. In anexample, the wearable-sensor component of this invention can be selectedfrom the group consisting of: Micro-Electro-Mechanical System (MEMS)sensor, microcantilever sensor, laboratory-on-a-chip, nanoparticlesensor, and nanotube sensor.

In an example, the wearable-sensor component of this invention can be apulmonary function and/or respiratory function sensor. In an example,the wearable-sensor component of this invention can be selected from thegroup consisting of: tidal volume sensor, oxygen consumption monitor,spirometry monitor, pulmonary function monitor, respiration monitor,breathing monitor, obstructive sleep apnea monitor, and oxygensaturation monitor. In an example, the wearable-sensor component of thisinvention can be a sonic energy sensor. In an example, thewearable-sensor component of this invention can be selected from thegroup consisting of: microphone, acoustic sensor, and ultrasonic sensor.In an example, this invention can further comprise a compass and/or GPSsensor.

In an example, the wearable-sensor component of this invention can beincorporated into an electronically-functional textile, fabric, garment,or wearable accessory which comprises one or more of the following:array of electroconductive members woven using a plain weave, rib weave,basket weave, twill weave, satin weave, leno weave, mock leno weave;array of fiber optic members woven using a plain weave, rib weave,basket weave, twill weave, satin weave, leno weave, mock leno weave;array or mesh of electroconductive fibers; bendable fibers, threads, oryarns; bendable layer, trace, or substrate; elastic fibers, threads, oryarns; elastic layer, trace, or substrate; electroconductive fibers,threads, or yarns; electronically-functional bandage;electronically-functional tattoo; integrated array of electroconductivemembers; integrated array of fiber optic members; integrated array ofsound-conducting members; interlaced electricity-conducting fibers,threads, or yarns; interlaced light-conducting fibers, threads, oryarns; interlaced sound-conducting fibers, threads, or yarns;light-emitting fibers, threads, or yarns; nonconductive fibers, threads,or yarns; nonconductive layer, substrate, or material; plaited fibers,threads, or yarns; sinusoidal fibers, threads, or yarns; stretchablefibers, threads, or yarns; stretchable layer, trace, or substrate;textile-based light display matrix; variable-resistanceelectroconductive fiber, thread, or yarn; variable-translucence fiber,thread, or yarn; water-resistant fibers, threads, or yarns; a layer orcoating of metallic nanoparticles; a graphene layer; and water-resistantlayer, trace, or substrate.

In an example, the sleep-environment-modifying component of thisinvention can be selected from the group consisting of: mattress pad,mattress, box spring, sheet, pillow, other bedding surface on which aperson lies while they sleep; blanket, sheet, sleeping bag, and/or otherbedding layer over a person while they sleep; portable fan, ceiling fan,portable blower, portable heat pump, or central Heating Ventilation andAir-Conditioning (HVAC) system; laminar air flow system; CPAP, othermask to direct breathable gas into a person's nose and/or mouth, nasalpillows, bedside CPAP device, and/or head-worn CPAP device; acousticpartition or barrier on or over a bed; speaker or other sound-emittingcomponent; cellular phone, smart watch, or other mobile communicationdevice; room light, bed light, or other light-emitting device; pajamasor other garment; and room door or window. In an example, this inventioncan further comprise one or more actuators selected from the groupconsisting of: brushless DC motor, brush-type DC motor, electric motor,electromagnetic actuator, hydraulic actuator, induction motor, MEMSactuator, piezoelectric actuator, pneumatic actuator, and stepper motor.

In an example, one or more sleep-environment-modifying components canenable separate control of two or more areas in the same bed. In anexample, these two or more areas can comprise separately-controllablesleeping environments. In an example, there can be twoseparately-controllable sleeping environments for two people sleeping inthe same bed. In an example, sleeping environments for two peoplesleeping on different sides of a bed can be separately adjusted. In anexample, two people in the same bed can each have a separate wearablesensor which controls the sleep environment on their side of the bed. Inan example, one or more modified characteristics of a sleep environmentcan be selected from the group consisting of: temperature; humidity;airflow direction, volume, or speed; sound cancellation, sound masking,and/or sound type; light level or type; breathable gas source,composition, and/or pressure level; sleeping surface slope,configuration, and/or movement; and degree or form of electroniccommunication connectivity and/or filtering.

In an example, the data-control component of this invention can furthercomprise one or more sub-components selected from the group consistingof: data processing sub-component, data communication sub-component,power source, human-to-computer user interface, computer-to-humaninterface, digital memory, and one or more other types of sensors. In anexample, a data processing sub-component can perform one or morefunctions selected from the group consisting of: convert analog sensorsignals to digital signals, filter sensor signals, amplify sensorsignals, analyze sensor data, run software programs, store data inmemory, and control the operation of a sleep-environment-modifyingcomponent.

In an example, a data processing sub-component can analyze data usingone or more statistical methods selected from the group consisting of:multivariate linear regression or least squares estimation; factoranalysis; Fourier Transformation; mean; median; multivariate logit;principal components analysis; spline function; auto-regression;centroid analysis; correlation; covariance; decision tree analysis;Kalman filter; linear discriminant analysis; linear transform;logarithmic function; logit analysis; Markov model; multivariateparametric classifiers; non-linear programming; orthogonaltransformation; pattern recognition; random forest analysis;spectroscopic analysis; variance; artificial neural network; Bayesianfilter or other Bayesian statistical method; chi-squared; eigenvaluedecomposition; logit model; machine learning; power spectral density;power spectrum analysis; probit model; and time-series analysis.

In an example, a power source can be a battery. In an example, a powersource can harvest, transduce, or generate electrical energy fromkinetic energy, thermal energy, biochemical energy, ambient lightenergy, and/or ambient electromagnetic energy. In an example, a datacommunication sub-component can perform one or more functions selectedfrom the group consisting of: transmit and receive data via Bluetooth,WiFi, Zigbee, or other wireless communication modality; transmit andreceive data to and from an electronically-functional mattress, blanket,mattress pad, or other bedding layer; transmit and receive data to andfrom a home appliance and/or home control system; transmit and receivedata to and from a mobile electronic device such as a cellular phone,mobile phone, smart phone, electronic tablet; transmit and receive datato and from a separate wearable device such as a smart watch orelectronically-functional eyewear; transmit and receive data to and fromthe internet; send and receive phone calls and electronic messages; andtransmit and receive data to and from an implantable medical device.

In an example, this invention can communicate with one or more otherdevices selected from the group consisting of: a communication tower orsatellite; a CPAP device; a home appliance or control system; a laptopor desktop computer; a smart phone or other mobile communication device;a wearable cardiac monitor; a wearable electromagnetic brain activitymonitor; a wearable pulmonary activity monitor; an implantable medicaldevice; an internet server; and another type of wearable device or anarray of wearable sensors.

In an example, a human-to-computer interface can further comprise one ormore members selected from the group consisting of: button, knob, dial,or keys; display screen; gesture-recognition interface; microphone;physical keypad or keyboard; pressure-sensitive textile array; speech orvoice recognition interface; touch screen; virtual keypad or keyboard;electronically-functional textile interface; EMG-recognition interface;and EEG-recognition interface. In an example, a computer-to-humaninterface can further comprise one or more members selected from thegroup consisting of: a coherent-light image projector; a display screen;a laser; a myostimulating member; a neurostimulating member; anon-coherent-light image projector; a speaker or other sound-emittingmember; a speech or voice recognition interface; a synthesized voice; avibrating or other tactile sensation creating member; MEMS actuator; anelectromagnetic energy emitter; an electronically-functional textileinterface; an infrared light emitter; an infrared light projector; andan LED or LED array.

In an example, the data-control component of this invention can operatethe sleep-environment-modifying component in order to automaticallychange a person's sleep environment based on data from thewearable-sensor component. In an example, this environmentalmodification can help to keep a person's sleep environment within adesired range for a selected environmental parameter or characteristic.In an example, data from the wearable-sensor component can be analyzedin real time to predict likely changes in the person's sleepingenvironment and to proactively modify the person's sleeping environmentin order to keep the environment within a desired range for a selectedenvironmental parameter or characteristic. In an example, if data from awearable-sensor component indicates a high probability of an ensuingbiologically-caused change in the person's body temperature, then acooling or heating sleep-environment-modifying component can beactivated in a proactive manner to provide appropriate cooling orheating in advance of the actual change in body temperature. This canmitigate (or even avoid) biologically-caused swings in body temperatureduring sleep. In an example, a sleep-environment-modifying component canonly be activated when needed (and can be deactivated when not needed)in order to conserve energy and to more-precisely regulate a person'ssleep environment.

In an example, the wearable-sensor component,sleep-environment-modifying component, and data-control component ofthis invention can all be located together within a single housing ordevice. In an example, two or more of these components can be located inseparate housings or devices, but be in communication with each other soas to comprise a system for automatic modification of a person's sleepenvironment. In an example, a wearable-sensor component and adata-control component can be located together in a wearable devicewhich is in wireless communication with a separatesleep-environment-modifying component (such as a blanket, mattress,pillow, portable fan, ceiling fan, window air conditioner, central HVACsystem, audio speaker, bed light, mobile electronic communicationdevice, room door, or room window). In an example, a wearable-sensorcomponent and a sleep-environment-modifying component can be locatedtogether in a wearable device which is in wireless communication with adata-control unit (such as mobile electronic communication device orremote internet-connected computer).

We now discuss, in detail, the individual examples of this inventionwhich are shown in FIGS. 1 through 82. The points made in the abovediscussion and the example variations therein can apply to embodimentsof this invention which are now shown in FIGS. 1 through 82. FIG. 1shows an example of how this invention can be embodied in a system,device, and method using wearable technology to collect data forautomatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'sblood pressure; a sleep-environment-modifying component which changesthe temperature of a mattress, blanket, or other bedding material nearthe person's body; and a data-control component which controls theoperation of the sleep-environment-modifying component in order toautomatically change the person's sleep environment. The left side ofFIG. 1 shows this embodiment at a first point in time and the right sideof FIG. 1 shows this embodiment at a second point in time, in sequence,in order to show how blood pressure data can be used to automaticallymodify the person's sleep environment while the person sleeps.

Specifically, the example shown in FIG. 1 comprises: a wrist band(further comprising blood pressure sensor 102) that is configured to beworn by person 101; a sleep-environment-modifying component (furthercomprising blanket 104, heat exchanger 105, and flow channel 106) whichchanges the temperature of blanket 104; and a data-control component 103which controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the temperature of theperson's sleep environment. In an example, this system only cools orheats the person's sleep environment when needed, based on data fromblood pressure sensor 102. This can help to conserve energy and also tobetter regulate sleeping environment temperature. In an example, changesin blood pressure can predict biologically-induced swings in bodytemperature and this prediction can be used to proactively change theblanket's temperature so as to mitigate (or completely avoid)temperature swings. In this example, wearable sensor 102 is a bloodpressure sensor that is incorporated into a wrist band. In otherexamples, a blood pressure sensor can be worn elsewhere on the body.

In this example, heat exchanger 105 pumps cooling or heating fluid (orair or other gas) through flow channel 106 which, in turn, circulatesthrough blanket 104. In this example, a selected blood pressure value orpattern triggers cooling of the person's environment, which isrepresented by snowflake symbol 107. In another example, a bloodpressure value or pattern can trigger heating. Data from blood pressuresensor 102 is collected at a first point in time (as shown on the leftside of FIG. 1) and triggers cooling at a second point in time (as shownon the right side of FIG. 1). In this example, heat exchanger 105further comprises a pump and/or compressor and releases heat into theroom air. In another example, a heat exchanger can contain a quantity ofa pre-cooled substance, such as ice, to avoid increasing the overalltemperature of room air. In another example, a heat exchanger cantransfer thermal energy from one side of a bed to the other. This can beparticularly useful when one person in a bed tends to be too warm andthe other person in a bed tends to be too cool.

In this example, data-control component 103 is part of the wrist band.In other examples, data-control component 103 can be co-located withheat exchanger 105, located in a wirelessly-linked mobile electronicdevice, or located in a remote computer. In various examples, thisinvention can directly modify the temperature of air and/or other gas incommunication with the surface of the person's body, change thetemperature of air under a blanket or other bed covering, change thetemperature of a mattress or mattress pad, control the operation of anelectric blanket, and/or change the inflation or pressure level of amattress pad.

FIG. 2 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awrist-worn component (further comprising blood pressure sensor 202) thatis configured to be worn by person 201; a sleep-environment-modifyingcomponent (further comprising garment 204 worn by person 201, heatexchanger 205, and flow channel 206) which changes the temperature ofgarment 204; and a data-control component 203 which controls theoperation of the sleep-environment-modifying component in order toautomatically change the temperature of garment 204 while the personsleeps. As was the case with FIG. 1, the left side shows this example ata first point in time and the right side shows this example at a secondpoint in time. This shows how data from blood pressure sensor 202 isused to selectively modify garment 204 temperature. In this example,cooling or warming liquid (or air or other gas) is pumped through flowchannel 206 and then circulates through garment 204. In this example,garment 204 performs a cooling function, as indicated by snowflakesymbol 207. In another example, garment 204 can perform a warmingfunction.

FIG. 3 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that collects data concerning EEG signals,electromagnetic energy from the person's brain, and/or electromagneticenergy transmitted through the person's brain; asleep-environment-modifying component which changes the filtering ofelectronic communications sent to the person; and a data-controlcomponent which controls the operation of thesleep-environment-modifying component in order to automatically changecommunication filtering based on data from the wearable-sensorcomponent. More specifically, this example comprises: a wearable EEGmonitor (further comprising at least one EEG sensor 302 and hat 304)which is worn by person 301; a wrist-worn component (further comprisingcommunication unit 305 and power source 306); and a data-controlcomponent 303 which filters electronic communication when data from theEEG monitor indicates that the person is asleep (or falling asleep).

In an example, brainwaves or other rhythmic, cyclical, and/or repeatingelectromagnetic signals associated with brain activity can be measuredand analyzed using one or more clinical frequency bands. In an example,complex repeating waveform patterns can be decomposed and identified asa combination of multiple, simpler repeating wave patterns, wherein eachsimpler wave pattern repeats within a selected clinical frequency band.In an example, brainwaves can be decomposed and analyzed using FourierTransformation methods. In an example, brainwaves can be measured andanalyzed using a subset and/or combination of five clinical frequencybands: Delta, Theta, Alpha, Beta, and Gamma. In an example, a system,device, or method can analyze changes in brainwaves in a singlefrequency band, changes in brainwaves in multiple frequency bands, orchanges in brainwaves in a first frequency band relative to those in asecond frequency band. In an example, a statistical method can analyzerepeating electromagnetic patterns by analyzing their frequency ofrepetition, their frequency band or range of repetition, their recurringamplitude, their wave phase, and/or their waveform.

In an example, analysis of data from a wearable EEG monitor can indicatewhen person 301 is probably awake, asleep, or in the process of fallingasleep. In the example shown in FIG. 3, when data from the EEG monitorindicates that the person is awake, then the wrist-worn component emitssound-based notifications of incoming communications. This is shown onthe left side of FIG. 3. In another example, these notifications can bevibratory. However, when data from the EEG monitor indicates that theperson is asleep (or in the process of falling asleep), then thewrist-worn component filters incoming communications and does not emitany sound-based or vibratory notifications. This is shown on the rightside of FIG. 3.

In another example, an EEG monitor can be in electronic communicationwith a smart phone or other non-wearable communication device. In anexample, communication notification by a smart phone or other electroniccommunications device can be filtered, muted, or otherwise modified whendata from an EEG monitor indicates that a person is probably sleeping orin the process of falling asleep. Such selective communication filteringand/or modification based on sleep status can be useful for maintainingelectronic communication when fully awake without interrupting sleepwhen asleep or falling asleep. In other examples, this invention canchange the filtering, auto-response, notification mode, notificationtiming, or user interface for communications based on sleep statusand/or sleep phase. In an example, this invention can change whichcommunication types or sources result in immediate notification when aperson is asleep or falling asleep. More generally, the wearable-sensorcomponent of this invention can collect data concerning electromagneticenergy from (or transmitted through) organs or portions of the person'sbody other than the brain—such as the heart, eyes, stomach, wrist, hand,or arm.

In the example shown in FIG. 3, changes in data from a wearable EEGmonitor are used to trigger a change in the communication notificationmode of a wearable communications device. In an example, changes in datafrom a wearable EEG monitor can be used to trigger a change in thecommunication notification mode of a non-wearable communications device.In an example, changes in data from a wearable EEG monitor are used totrigger a change in the communication notification mode of a smart phoneor other non-wearable mobile communications device. In an example awearable device with a motion sensor can be in wireless communicationwith a smart phone or other non-wearable mobile communications device.In an example, when data from a wearable EEG monitor indicates that aperson is probably sleeping, then this can trigger a change in thecommunication notification mode of a smart phone or other non-wearablemobile communications device. In an example, when data from a wearableEEG monitor indicates that a person is probably sleeping, then this canmute sound-based communication notifications from a smart phone or othermobile communications device.

FIG. 4 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable brain activity monitor which collects data concerning aperson's EEG signals, electromagnetic energy from the person's brain,and/or electromagnetic energy transmitted through the person's brain; asleep-environment-modifying component which changes a communicationnotification mode for communications sent to the person; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the example in FIG. 4 comprises: a wearable EEGmonitor (further comprising electromagnetic energy sensor 402 and hat404) that collects data concerning EEG signals from person 401,electromagnetic energy from the person's brain, and/or electromagneticenergy transmitted through the person's brain; a wrist-worn component(further comprising sound-emitting member 405 and light-emitting member406) which changes a communication notification mode for communicationssent to the person; and a data-control component 403 which automaticallychanges a communication mode when data from the wearable EEG monitorindicates that the person is asleep or falling asleep.

In an example, brainwaves or other rhythmic, cyclical, and/or repeatingelectromagnetic signals associated with brain activity can be measuredand analyzed using one or more clinical frequency bands. In an example,complex repeating waveform patterns can be decomposed and identified asa combination of multiple, simpler repeating wave patterns, wherein eachsimpler wave pattern repeats within a selected clinical frequency band.In an example, brainwaves can be decomposed and analyzed using FourierTransformation methods. In an example, brainwaves can be measured andanalyzed using a subset and/or combination of five clinical frequencybands: Delta, Theta, Alpha, Beta, and Gamma. In an example, a method cananalyze changes in brainwaves in a single frequency band, changes inbrainwaves in multiple frequency bands, or changes in brainwaves in afirst frequency band relative to those in a second frequency band. In anexample, a statistical method can analyze repeating electromagneticpatterns by analyzing their frequency of repetition, their frequencyband or range of repetition, their recurring amplitude, their wavephase, and/or their waveform.

Such analysis of electromagnetic activity of a person's brain canindicate whether the person is probably awake, asleep, or fallingasleep. As shown on the left side of FIG. 4, a communicationnotification mode can be based on sound when a person is awake. As shownon the right side of FIG. 4, a communication notification mode can bebased on light when a person is asleep or falling asleep. In thisexample, the person's sleep status is determined based on analysis ofdata from a wearable EEG monitor which is embodied as a hat. In otherexamples, a wearable EEG monitor can be embodied in different type ofhead-worn device, such as an ear insert, electronically-functionaleyewear, or an electronically-functional respiratory mask.

In this example, a data-control component is incorporated into an EEGmonitor. In another example, a data-control component can beincorporated into a wrist-worn component, smart phone, or other mobileelectronic communication device. In this example, communicationnotification comes from a wrist-worn device, such as a smart watch. Inanother example, communication notification can come from a smart phoneor other mobile electronic device. In various examples, a smart watch,smart eyewear, a smart phone, or other electronic communication devicecan produce sound-based or tactile-based communication notificationswhen a person is awake and can produce light-based communicationnotifications when a person is asleep or falling asleep.

In the example shown in FIG. 4, when data from the EEG monitor indicatesthat the person is sufficiently awake, then the wrist-worn componentemits sound-based notifications for incoming communications as shown onthe left side of FIG. 4. However, when data from the EEG monitorindicates that the person is sleeping (or falling asleep), then thewrist-worn component produces emits light-based notifications ofincoming communications as shown on the right side of FIG. 4.Light-based notifications can be less likely to awaken the person whenthe person is sleeping than are sound-based or vibration-basednotifications. Such selective modification of communication notificationmode based on sleep status can be useful for maintaining electroniccommunication when a person is awake, without interrupting sleep whenthe person is asleep. In another example, this invention can modify thenotification modality of a non-wearable electronic communication device,such as a smart phone or electronic tablet, based on a person's sleepstatus and/or sleep phase.

More generally, the wearable-sensor component of this invention cancollect data concerning electromagnetic energy from (or transmittedthrough) other organs or portions of the person's body. In variousexamples, a sleep-environment-modifying component can: change acommunication notification mode for communications sent to a person fromsound-based notification to visual-based notification, or vice versa;change a communication notification mode for communications sent to aperson from tactile-based notification to visual-based notification, orvice versa; or change a communication notification mode forcommunications sent to a person from vibration-based notification tovisual-based notification, or vice versa. In other examples, asleep-environment-modifying component can automatically reduce themagnitude of sound, light, or vibration notification when a person issleeping (or falling asleep) based on data from a wearable-sensorcomponent. This can help to generally maintain a person's electronicconnectivity without disturbing the person's sleep.

FIG. 5 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning EEG signals,electromagnetic energy from the person's brain, and/or electromagneticenergy transmitted through the person's brain; asleep-environment-modifying component which changes an auto-response tocommunications sent to the person; and a data-control component whichcontrols the operation of the sleep-environment-modifying component inorder to automatically change the person's sleep environment based ondata from the wearable-sensor component. More specifically, thiscomprises: a wearable EEG sensor (further comprising at least oneelectromagnetic energy sensor 502 and a data processing unit 503incorporated into hat 504) worn by person 501; a wrist-worncommunication device (further comprising data receiver 505) whichchanges an auto-response to communications sent to the person; and adata-control component 506 which changes the auto-response based on datafrom the wearable EEG sensor. In this example, at least oneelectromagnetic energy sensor 502 collects data concerningelectromagnetic energy from the person's brain and/or electromagneticenergy transmitted through the person's brain.

In an example, brainwaves or other rhythmic, cyclical, and/or repeatingelectromagnetic signals associated with brain activity can be measuredand analyzed using one or more clinical frequency bands. In an example,complex repeating waveform patterns can be decomposed and identified asa combination of multiple, simpler repeating wave patterns, wherein eachsimpler wave pattern repeats within a selected clinical frequency band.In an example, brainwaves can be decomposed and analyzed using FourierTransformation methods. In an example, brainwaves can be measured andanalyzed using a subset and/or combination of five clinical frequencybands: Delta, Theta, Alpha, Beta, and Gamma. In an example, a method cananalyze changes in brainwaves in a single frequency band, changes inbrainwaves in multiple frequency bands, or changes in brainwaves in afirst frequency band relative to those in a second frequency band. In anexample, a statistical method can analyze repeating electromagneticpatterns by analyzing their frequency of repetition, their frequencyband or range of repetition, their recurring amplitude, their wavephase, and/or their waveform.

In an example, analysis of brainwaves or other electromagnetic brainactivity can indicate whether the person is probably awake, sleeping, orin the process of falling asleep. In an example, when data from the EEGmonitor indicates that the person is awake (as shown in the left side ofFIG. 5), then there is no auto-response to communications sent to theperson. However, when data from the EEG monitor indicates that theperson is sleeping (as shown in the right side of FIG. 5), then thesystem gives an auto-response message to communications sent to theperson. In an example, this auto-response can be an auto-reply messagesuch as “Can't talk right now” or “Sleeping now. Will catch up when Iwake up.”

In an example, an auto-reply function can occur with a communicationdevice selected from the group consisting of: smart watch; smart phone;smart eyewear; smart earwear; and electronic tablet. In an example,analysis of brainwaves or other electromagnetic brain activity candetermine which phase of sleep a person is in and can adjust thefiltering, notification, and/or auto-response for incomingcommunications based on a selected phase of sleep. More generally, awearable-sensor component can collect data concerning electromagneticenergy from or transmitted through other organs or portions of aperson's body. More generally, a wearable-sensor component can collectdata concerning at least one selected physiologic parameter or anatomicfunction of a person and a sleep-environment-modifying component canchange an auto-response message given in response to communications sentto the person.

FIG. 6 shows an example of how this invention can be embodied in asystem, device, and method using wearable technology to collect data forautomatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning EEG signals,electromagnetic energy from the person's brain, and/or electromagneticenergy transmitted through the person's brain; asleep-environment-modifying component which changes the direction of aflow of air coming from a portable fan or ceiling fan; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent. In particular, the example in FIG. 6 comprises: a wearablebrain activity monitor (further comprising at least one electromagneticenergy sensor 602 and hat 604) that collects data concerning the EEGsignals of person 601, electromagnetic energy from the person's brain,and/or electromagnetic energy transmitted through the person's brain; aportable fan 605 with an actuator 606 which can change the direction ofa flow of air coming from the fan; and a data-control component 603which controls the direction of the flow of air from the fan based ondata from the wearable brain activity monitor.

In an example, brainwaves or other rhythmic, cyclical, and/or repeatingelectromagnetic signals associated with brain activity can be measuredand analyzed using one or more clinical frequency bands. In an example,complex repeating waveform patterns can be decomposed and identified asa combination of multiple, simpler repeating wave patterns, wherein eachsimpler wave pattern repeats within a selected clinical frequency band.In an example, brainwaves can be decomposed and analyzed using FourierTransformation methods. In an example, brainwaves can be measured andanalyzed using a subset and/or combination of five clinical frequencybands: Delta, Theta, Alpha, Beta, and Gamma. In an example, a method cananalyze changes in brainwaves in a single frequency band, changes inbrainwaves in multiple frequency bands, or changes in brainwaves in afirst frequency band relative to those in a second frequency band. In anexample, a statistical method can analyze repeating electromagneticpatterns by analyzing their frequency of repetition, their frequencyband or range of repetition, their recurring amplitude, their wavephase, and/or their waveform.

In an example, analysis of data from the wearable brain activity monitorcan predict biologically-induced swings in body temperature. In thisexample, the stylized “fire” symbol shown above the wearable brainactivity monitor on the left side of FIG. 6 symbolizes a pattern ofbrain activity which predicts a biologically-induced upward swing in theperson's body temperature. In this example, the right side of FIG. 6shows how the system has responded to this prediction by changing thedirection of airflow from portable fan 605 so that it better coolsperson 601. In this manner, an upward swing in the person's bodytemperature can be mitigated or even avoided. In this example, thesleep-environment-modifying component of this invention is a portablefan that is placed on a surface somewhere in the bedroom. In anotherexample, the sleep-environment-modifying component can be a fan thatintegrated into a bed (such as the bed headboard). In another example,the fan can be a ceiling fan. In an example, thesleep-environment-modifying component of this invention can: start orstop the operation of a portable fan or ceiling fan; change the speed ofairflow from a portable fan or ceiling fan; change the direction of aflow of air and/or other gas which the person breathes; and/or changethe flow of air and/or other gas in communication with the surface ofthe person's body.

In an example, the sleep-environment-modifying component of thisinvention can selectively direct airflow over person 601 and not overthe person's bed partner. In an example, a system, device, and methodwhich increases airflow over a person's body in response to a predictedor actual increase in the person's body temperature can be useful forreducing the effects of hot flashes. In an example of a system, device,and method to address a woman's hot flashes, airflow can be selectivelyand temporarily directed over the woman's body in response to a hotflash that is predicted by a particular pattern of brainwaves or otherelectromagnetic brain activity. In other examples, airflow can beselectively and temporarily directed over a woman's body in response todata from a plurality of sensors selected from the group consisting of:EEG monitor, temperature sensor, blood pressure monitor, pulse monitor,moisture sensor, tissue conductivity sensor, tissue impedance sensor,and pulmonary function monitor.

FIG. 7 shows an example of this invention which is similar to the oneshown in FIG. 6, except that it changes the direction of airflow from awindow-based air conditioner rather than from a portable fan. FIG. 7shows how this invention can be embodied in a system, device, and methodthat uses wearable technology to collect data for automatic modificationof a person's sleep environment comprising: a wearable-sensor componentthat is configured to be worn by a person, wherein this sensor componentcollects data concerning EEG signals, electromagnetic energy from theperson's brain, and/or electromagnetic energy transmitted through theperson's brain; a sleep-environment-modifying component which changesthe direction of a flow of air from a window-based air conditioner; anda data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

In particular, the example in FIG. 7 comprises: a wearable brainactivity monitor (further comprising at least one electromagnetic energysensor 702 and hat 704) that collects data concerning EEG signals,electromagnetic energy from the brain, and/or electromagnetic energytransmitted through the brain; a window-based air conditioner 705 withautomatically-adjustable airflow direction (further comprising wirelessdata receiver 706); and a data-control component 703 which controls theoperation of the sleep-environment-modifying component in order toautomatically change the sleep environment of person 701 based on datafrom the wearable brain activity monitor. Example variations similar tothose discussed for FIG. 6 are again possible. In addition, thesleep-environment-modifying component can adjust the temperature orspeed of airflow from the window-based air conditioner.

FIG. 8 shows an example of this invention which is similar to thoseshown in FIGS. 6 and 7, except that it changes the rate of airflow froma central heating, ventilation, and/or air-conditioning (HVAC) system.FIG. 8 shows how this invention can be embodied in a system, device, andmethod that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning EEG signals,electromagnetic energy from the person's brain, and/or electromagneticenergy transmitted through the person's brain; asleep-environment-modifying component which changes the inter-roomdistribution of a flow of air from a central heating, ventilation,and/or air-conditioning (HVAC) system; and a data-control componentwhich controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the person's sleepenvironment based on data from the wearable-sensor component. In anotherexample, the inter-room distribution of airflow from an HVAC system canbe automatically changed by selectively opening or closing air valves induct work. The left portion of this figure shows this example at a firstpoint in time and the right portion of this figure shows this example ata second point in time, in sequence, to show how sensor data is used tomodify the person's sleep environment.

More specifically, the embodiment shown in FIG. 8 comprises: a wearablebrain activity monitor (further comprising at least one electromagneticenergy sensor 802 and hat 804) that collects data concerning EEGsignals, electromagnetic energy from the person's brain, and/orelectromagnetic energy transmitted through the person's brain; asleep-environment-modifying component (wall-mounted HVAC control unit805) which changes the inter-room distribution of a flow of air from acentral heating, ventilation, and/or air-conditioning (HVAC) system; anda data-control component 803 which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent. In this example, the data-control component 803 is located ina wearable component (e.g. hat 804) of the system. In another example, adata-control component can be located in the sleep-environment-modifyingcomponent (e.g. wall-mounted HVAC control unit 805). In an example, awearable device with multiple physiologic and/or anatomic functionsensors that is worn by a person when the person sleeps can be inwireless communication with a total home environmental control system inorder to better control the person's sleep environment.

In this example, analysis of data from the wearable brain activitymonitor triggers a change in the inter-room distribution of airflow froma central HVAC system. In another example, the inter-room distributionof airflow from an HVAC system can be automatically changed byselectively opening or closing air valves in duct work. In anotherexample, analysis of data from the wearable brain activity monitor cantrigger an overall increase in the rate of airflow through a centralHVAC system. In an example, this invention can change the temperature ofairflow from a central HVAC system. Example variations similar to thosediscussed for FIG. 6 are again possible. In an example, awearable-sensor component can collect data concerning EEG signals,electromagnetic energy from the person's brain, and/or electromagneticenergy transmitted through the person's brain and this data can triggera change in the direction, temperature, humidity, volume, and/or rate ofairflow from a central heating, ventilation, and/or air-conditioning(HVAC) system. More generally, a wearable-sensor component can collectdata concerning at least one selected physiologic parameter or anatomicfunction of the person and the sleep-environment-modifying componentchanges the direction, temperature, humidity, volume, and/or rate ofairflow from a central heating, ventilation, and/or air-conditioning(HVAC) system.

FIG. 9 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that collects data concerning electromagneticenergy from a person's brain; a sleep-environment-modifying componentwhich controls a laminar flow of air and/or other gas in communicationwith the surface of the person's body; and a data-control componentwhich controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the person's sleepenvironment based on data from the wearable-sensor component.Specifically, the example in FIG. 9 comprises: an EEG monitor (furthercomprising electromagnetic energy sensor 904 and hat 903) worn by person901; a laminar airflow mechanism (further comprising outflow vent 905and inflow vent 906) which creates longitudinal laminar airflow 907 overperson 901; and data-control component 902 which controls the operationof the laminar airflow mechanism based on data from the EEG monitor. Inan example, laminar airflow can enable selective and individualizedcontrol of the sleep environment on one side of a bed vs. the otherside. In an example, laminar airflow can selectively control thetemperature, humidity, volume, or rate of airflow over just one side ofa bed. In an example, such selective control of airflow can cool person901 without cooling the other person in the same bed. In an example,laminar airflow over one portion of a bed which is controlled by datafrom a wearable device can create and control a personalized sleepingenvironment for one bed partner which does not substantially affect theother bed partner.

In an example, brainwaves or other rhythmic, cyclical, and/or repeatingelectromagnetic signals associated with brain activity can be measuredand analyzed using one or more clinical frequency bands. In an example,complex repeating waveform patterns can be decomposed and identified asa combination of multiple, simpler repeating wave patterns, wherein eachsimpler wave pattern repeats within a selected clinical frequency band.In an example, brainwaves can be decomposed and analyzed using FourierTransformation methods. In an example, brainwaves can be measured andanalyzed using a subset and/or combination of five clinical frequencybands: Delta, Theta, Alpha, Beta, and Gamma. In an example, a method cananalyze changes in brainwaves in a single frequency band, changes inbrainwaves in multiple frequency bands, or changes in brainwaves in afirst frequency band relative to those in a second frequency band. In anexample, a statistical method can analyze repeating electromagneticpatterns by analyzing their frequency of repetition, their frequencyband or range of repetition, their recurring amplitude, their wavephase, and/or their waveform.

In an example, this invention can trigger laminar airflow 907 when datafrom the EEG monitor predicts that person 901 will soon have abiologically-induced upward swing in body temperature. In an example,proactive activation of cooling laminar airflow can reduce or avoid theeffects of the upward swing in the person's body temperature withoutcooling the other person in the bed. In this example, laminar airflowflows longitudinally from the head of a bed to the foot of a bed. In anexample, laminar airflow can flow diagonally from the head of a bed to aside of a bed. In an example, this laminar airflow can be substantiallyhorizontal. In an example, this laminar airflow can be substantiallyvertical. In an example, a sleep-environment-modifying component cancontrol the initiation, cessation, temperature, humidity, volume, speed,or spatial configuration of a laminar airflow across a bed.

FIG. 10 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning electromagneticenergy from or transmitted through the person's body; asleep-environment-modifying component which changes the direction of aflow of air coming from a portable fan or ceiling fan; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent. The left portion of this figure shows this example at a firstpoint in time and the right portion of this figure shows this example ata second point in time, in sequence, to show how sensor data is used tomodify the person's sleep environment.

More specifically, the embodiment shown in FIG. 10 comprises: awrist-worn device (further comprising electromagnetic energy sensor1002) worn by person 1001 which collects data concerning electromagneticenergy from (or transmitted through) a portion of the person's body; aportable fan 1004 with an actuator 1005 which changes the direction ofairflow from the fan; and a data-control component 1003 which controlsthe operation of fan 1004 and/or actuator 1005 based on data fromelectromagnetic energy sensor 1002. In an example, data from theelectromagnetic energy sensor can predict biologically-induced upwardswings in the person's body temperature and direct airflow from fan 1004over the person's body to proactively reduce or avoid such swings inbody temperature. In an example, fan 1004 can be turned on or off basedon data from electromagnetic energy sensor 1002.

In an example, electromagnetic energy sensor 1002 can measure theconductivity, resistance, and/or impedance of electrical energy flowthrough tissue in the person's wrist, hand, and/or arm. In an example, awearable-sensor component can collect data concerning electromagneticenergy from the person's wrist or transmitted through the person'swrist. In an example, the wearable-sensor component can collect dataconcerning electromagnetic energy from or transmitted through theperson's body that is used to: control the operation of a portable fanor ceiling fan which directs airflow toward the person's body; or startand stop a portable fan or ceiling fan. In an example, a controlled fancan be integrated into a bed structure (such as headboard or footboard)rather than be a portable or ceiling fan that is separate from the bedstructure.

FIG. 11 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning electromagneticenergy from or transmitted through the person's body; asleep-environment-modifying component which changes the direction of aflow of air from a window-based air conditioner; and a data-controlcomponent which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 11 comprises: awrist-worn device (further comprising electromagnetic energy sensor1102); a sleep-environment-modifying component 1105 which changes thedirection of airflow from a window-based air conditioner 1104; and adata-control component 1103 which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent. In an example, the direction of airflow from a window-basedair conditioner can be changed by one or more actuators which move slatsor vents in the air conditioner.

In an example, data from electromagnetic energy sensor 1102 can be usedto estimate person 1101's current body temperature or predicted bodytemperature. In an example, current high body temperature or a predictedupswing in body temperature based on this data can trigger a change inthe direction of airflow from window-based air conditioner 1104. In anexample, this can reduce or avoid unpleasant spikes or drops in theperson's body temperature. In various examples, data fromelectromagnetic energy sensor 1102 can trigger changes in theactivation, cessation, direction, temperature, humidity, volume, and/orspeed of airflow from a window-based air conditioner. In an example,airflow from a window-based air conditioner can be directed so as tocool person 1101 without substantively cooling another person in thesame bed.

FIG. 12 shows an embodiment of this invention which is similar to theone shown in FIG. 11, except that this embodiment changes airflow from acentral Heating, Ventilation, and/or Air-Conditioning (HVAC) systeminstead of airflow from a window-based air conditioner. As shown in FIG.12, this invention can be embodied in a system, device, and method thatuses wearable technology to collect data for automatic modification of aperson's sleep environment comprising: a wearable-sensor component thatis configured to be worn by a person, wherein this sensor componentcollects data concerning electromagnetic energy from or transmittedthrough the person's body; a sleep-environment-modifying component whichchanges the direction of a flow airflow from a central heating,ventilation, and/or air-conditioning (HVAC) system; and a data-controlcomponent which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment in FIG. 12 comprises: a wrist-worndevice (further comprising electromagnetic energy sensor 1202) worn byperson 1201; a sleep-environment-modifying component 1204 which changesthe direction of airflow from a central heating, ventilation, and/orair-conditioning (HVAC) system through vent 1205; and a data-controlcomponent 1203 which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent. In an example, the direction of airflow from a central HVACsystem can be changed by actuators which move the slats in vent 1205.

In an example, data from electromagnetic energy sensor 1202 can be usedto estimate or predict person 1201's body temperature. In an example,current high body temperature or a predicted upswing in body temperaturebased on this data can trigger a change in the direction of airflow fromthe central HVAC system. In an example, this can reduce or avoidunpleasant spikes in the person's body temperature. In various examples,data from electromagnetic energy sensor 1202 can trigger changes in theactivation, cessation, direction, temperature, humidity, volume, and/orspeed of airflow from an HVAC system. In an example, airflow from anHVAC system can be spatially directed so as to cool person 1201 withoutsubstantively cooling another person in the same bed. In an example,analysis of data from wrist-worn electromagnetic energy sensor 1202 cantrigger: a change in the inter-room distribution of airflow from an HVACsystem; an increase in the rate of airflow through an HVAC system; achange in the temperature of airflow from an HVAC system; a change inthe direction, temperature, humidity, volume, and/or rate of airflowfrom an HVAC system. More generally, a wearable-sensor component cancollect data concerning at least one selected physiologic parameter oranatomic function which triggers changes in the direction, temperature,humidity, volume, and/or rate of airflow from an HVAC system.

FIG. 13 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning electromagneticenergy from or transmitted through the person's body; asleep-environment-modifying component which changes the firmness of amattress or other bedding material on which the person lies; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent. The left side of FIG. 13 shows this example at a first pointin time, wherein the wearable-sensor component is collectingphysiological data from person 1301. The right side of FIG. 13 showsthis example at a second point in time, wherein this data has triggereda change in the firmness of the side of a mattress on which that personlies.

More specifically, the embodiment shown in FIG. 13 comprises: awrist-worn device (further comprising an electromagnetic energy sensor1302) worn by person 1301, wherein this sensor component collects dataconcerning electromagnetic energy from or transmitted through theperson's body; a sleep-environment-modifying component (furthercomprising mattress 1304 and air pump 1305) which selectively inflatesor deflates the side of the mattress on which person 1301 lies; and adata-control component 1303 which controls the operation of thesleep-environment-modifying component in order to automatically changethe firmness of the person's mattress based on data from electromagneticenergy sensor 1302.

In this example, the right side of FIG. 13 shows that the inflation ofthe side of the mattress on which person 1305 lies has beenautomatically increased in response to data from wrist-wornelectromagnetic energy sensor 1302. In an example, asleep-environment-modifying component can: inflate or deflate a portionof a bed mattress or mattress pad; change the inflation or pressurelevel of a mattress on which a person lies; change the compressiveresistance of springs in a box spring; change the compressive resistanceof springs in a mattress; change the durometer or shore value of thebedding surface on which a person lies; and/or change the firmness of abedding surface on which a person lies.

FIG. 14 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning EEG signals,electromagnetic energy from the person's brain, and/or electromagneticenergy transmitted through the person's brain while the person is inbed; and a sleep-environment-modifying component which emits light basedon data from the wearable-sensor component. Specifically, the example inFIG. 14 comprises: a brain activity monitor (further comprisingelectromagnetic energy sensor 1404 and hat 1403) worn by person 1401;and a light-emitting member 1402, wherein the light-emitting memberemits light based on data from the brain activity monitor.

In an example, brainwaves or other rhythmic, cyclical, and/or repeatingelectromagnetic signals associated with brain activity can be measuredand analyzed using one or more clinical frequency bands. In an example,complex repeating waveform patterns can be decomposed and identified asa combination of multiple, simpler repeating wave patterns, wherein eachsimpler wave pattern repeats within a selected clinical frequency band.In an example, brainwaves can be decomposed and analyzed using FourierTransformation methods. In an example, brainwaves can be measured andanalyzed using a subset and/or combination of five clinical frequencybands: Delta, Theta, Alpha, Beta, and Gamma. In an example, a system,device, or method can analyze changes in brainwaves in a singlefrequency band, changes in brainwaves in multiple frequency bands, orchanges in brainwaves in a first frequency band relative to those in asecond frequency band. In an example, a statistical method can analyzerepeating electromagnetic patterns by analyzing their frequency ofrepetition, their frequency band or range of repetition, their recurringamplitude, their wave phase, and/or their waveform.

In an example, analysis of data from the brain activity monitor canindicate whether person 1401 is sleeping or awake. In an example,analysis of data from the brain activity monitor can indicate what phaseof sleep person 1401 is in when person 1401 is sleeping. In an example,activation of light-emitting member 1402 can be based on the person'ssleep status and/or sleep phase. In an example, the light can go offwhen the person falls asleep. In an example, the light can come on whenthe person wakes up. In an example, the light can come on during one ormore selected sleep phases. In an example, a light-emitting member canbe incorporated into a wearable device. In an example, a light-emittingmember can be part of separate device which is not worn but which is inwireless communication with a brain activity monitor. In an example,light emitted from a light-emitting member can be selected from thegroup consisting of: visible light; non-coherent light; coherent light;infrared light; and ultraviolet light. In an example, light emitted froma light-emitting member can comprise a pattern or image. In an example,light-emitting member can be an image projector. In an example, lightemitted from a light-emitting member can create a projected image orpicture on a surface in the environment.

As shown in FIG. 15, this invention can be embodied in a system, device,and method that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning EEG signals,electromagnetic energy from the person's brain, and/or electromagneticenergy transmitted through the person's brain; asleep-environment-modifying component which changes the mixture of airand/or other gas from multiple sources which the person breathes; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

In more detail, the example in FIG. 15 comprises: an electromagneticenergy sensor 1502 worn by person 1501 which collects data concerningthe person's electromagnetic brain activity; a respiratory mask 1503(and associated air and/or gas pathways) which changes the mixture ofair and/or other gas from multiple sources which person 1501 breathes;and a data-control component 1504 which controls the operation of therespiratory mask 1503 (and associated air and/or gas pathways) based ondata from the electromagnetic energy sensor 1502. In this example, anelectromagnetic energy sensor 1502 which measures the person's brainactivity is incorporated into a respiratory mask. In other examples, anelectromagnetic energy sensor to measure the person's brain activity canbe incorporated into a hat, cap, headband, headphones, earmuff, earinsert, or eyewear.

FIG. 15 shows an example wherein person 1501 breathes a mixture ofnon-ambient and ambient airflows from a non-ambient source and fromambient air, respectively. At the first point in time shown on the leftside of FIG. 15, airflow 1505 from a non-ambient source is less thanairflow 1506 from ambient air. At the second point in time shown on theright side of FIG. 15, airflow 1507 from a non-ambient source is greaterthan airflow 1508 from ambient air. In this example, the change inairflow mixture from the left side to the right side of FIG. 15 istriggered by analysis of data from electromagnetic energy sensor 1502.In an example, analysis of data from electromagnetic energy sensor 1502can indicate when the person's brain is not receiving sufficient oxygen.In an example, airflow from the non-ambient source can be a flow ofoxygen-enriched air or pure oxygen. In an example, data concerning theperson's brain activity which is collected by electromagnetic energysensor 1502 can trigger a greater proportion of non-ambient oxygen inthe mixture which the person breathes when the person's brain activityindicates oxygen deprivation.

In an example, brainwaves or other rhythmic, cyclical, and/or repeatingelectromagnetic signals associated with brain activity can be measuredand analyzed using one or more clinical frequency bands. In an example,complex repeating waveform patterns can be decomposed and identified asa combination of multiple, simpler repeating wave patterns, wherein eachsimpler wave pattern repeats within a selected clinical frequency band.In an example, brainwaves can be decomposed and analyzed using FourierTransformation methods. In an example, brainwaves can be measured andanalyzed using a subset and/or combination of five clinical frequencybands: Delta, Theta, Alpha, Beta, and Gamma. In an example, a system,device, or method can analyze changes in brainwaves in a singlefrequency band, changes in brainwaves in multiple frequency bands, orchanges in brainwaves in a first frequency band relative to those in asecond frequency band. In an example, a statistical method can analyzerepeating electromagnetic patterns by analyzing their frequency ofrepetition, their frequency band or range of repetition, their recurringamplitude, their wave phase, and/or their waveform.

In an example, the sleep-environment-modifying component of thisinvention can change the direction, flow rate, pressure, humidity,temperature, mixture, and/or source of the air or other gas which theperson breathes; change the mixture or composition of air and/or othergas which the person breathes; change the proportion of ambient airversus non-ambient air or other gas which the person breathes. In anexample, the wearable-sensor component can collect data concerningelectromagnetic energy from or transmitted through other organs orportions of the person's body and the sleep-environment-modifyingcomponent can change the mixture of air and/or other gas which theperson breathes based on this data.

As shown in FIG. 16, this invention can be embodied in a system, device,and method that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning EEG signals,electromagnetic energy from the person's brain, and/or electromagneticenergy transmitted through the person's brain; asleep-environment-modifying component which changes the pressure of airand/or other gas which the person breathes; and a data-control componentwhich controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the person's sleepenvironment based on data from the wearable-sensor component.

More specifically, the embodiment shown in FIG. 16 comprises: anelectromagnetic energy sensor 1602 worn by person 1601 which collectsdata concerning the person's EEG signals, electromagnetic energy fromthe person's brain, and/or electromagnetic energy transmitted throughthe person's brain; a respiratory mask 1604 with impeller 1603 whichchanges the pressure and/or speed of airflow which person 1601 breathes;and a data-control component 1605 which controls the operation ofimpellor 1603 based on data from electromagnetic energy sensor 1602. Onthe left side of FIG. 16, impellor 1603 is spinning at a first ratebased on data from electromagnetic energy sensor 1602 at a first pointin time. On the right side of FIG. 16, impellor 1603 is spinning at asecond rate based on data from electromagnetic energy sensor 1602 at asecond point in time, wherein the second rate is faster than the firstrate. In an example, when the impellor spins at a faster rate, itincreases the pressure and/or speed of airflow which person 1601breathes.

In an example, analysis of data from electromagnetic energy sensor 1602can indicate when person 1601 is experiencing respiratory obstruction.In an example, when data from electromagnetic energy sensor 1602indicates that person 1601 is experiencing respiratory obstruction, thenthis invention can trigger impellor 1603 to spin faster to providepositive airway pressure to reduce respiratory obstruction. In anexample, analysis of data from electromagnetic energy sensor 1602 canpredict when person 1601 is likely to experience respiratory obstructionsoon. In an example, when data from electromagnetic energy sensor 1602indicates that person 1601 is likely experience respiratory obstructionsoon, then this invention can trigger impellor 1603 to spin faster toprovide positive airway pressure to avoid respiratory obstruction. In anexample, analysis of data from electromagnetic energy sensor 1602 canindicate when person 1601 is experiencing oxygen deprivation. In anexample, when data from electromagnetic energy sensor 1602 indicatesthat person 1601 is experiencing oxygen deprivation, then this inventioncan trigger impellor 1603 to spin faster to provide positive airwaypressure to provide additional oxygen uptake by the person's body.

In this example, the pressure and/or speed of airflow which the personbreathes is modified by a change in the speed of an air impellor whichis incorporated into a respiratory mask. In an example, the pressureand/or speed of airflow which the person breathes can be modified by anair impellor which is part of a bedside air pump. In an example, thepressure and/or speed of airflow which the person breathes can bemodified by another air-moving mechanism, in respond to analysis of datafrom an electromagnetic brain activity monitor. In this example, anelectromagnetic brain activity monitor is incorporated into arespiratory mask. In an example, an electromagnetic brain activitymonitor can be incorporated into a hat, cap, headphones, ear muff, earinsert, or eyewear. In an example, a sleep-environment-modifyingcomponent can change the direction, flow rate, pressure, humidity,temperature, mixture, and/or source of the air or other gas which theperson breathes.

As shown in FIG. 17, this invention can be embodied in a system, device,and method that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning electromagneticenergy from (or transmitted through) the person's body; asleep-environment-modifying component which changes the temperature ofthe air, mattress, blanket, or other bedding material near the person'sbody; and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 17 comprises: awrist-worn electromagnetic energy sensor 1702 worn by person 1701; asleep-environment-modifying component (further comprising heat exchanger1705, flow channel 1706, and blanket 1704) which changes the temperatureof the person's sleep environment; and a data-control component 1703which controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the temperature of theperson's sleep environment based on data from wrist-worn electromagneticenergy sensor 1702. In this example, the sleep-environment-modifyingcomponent pumps a liquid or gas through heat exchanger 1705, flowchannel 1706, and blanket 1704 in order to cool the person's sleepenvironment. This is indicated by “snowflake” symbol 1707. In anotherexample, this component can heat the person's sleep environment. In anexample, blanket 1704 can further comprise sinusoidal tubes or channelsthrough which the pumped liquid or gas flows.

In an example, the heat exchanger releases heat into the room air. In anexample, the heat exchanger can contain a quantity of a pre-cooledsubstance, such as ice. In another example, a heat exchanger cantransfer thermal energy from one side of a bed to the other. This can beparticularly useful when one person in a bed tends to be too warm andthe other person in a bed tends to be too cool.

In an example, wrist-worn electromagnetic energy sensor 1702 can measurethe electrical conductivity, resistance, or impedance of the person'swrist, hand, or arm. In an example, data from wrist-worn electromagneticenergy sensor 1702 can indicate or predict biologically-caused changesin the person's body temperature. In an example, activation of coolingor heating based on data from wrist-worn electromagnetic energy sensor1702 can reduce or avoid the effects of biologically-induced swings inbody temperature for person 1701. In this example, the electromagneticenergy sensor is incorporated into a band or smart watch which person1701 wears on their wrist. In other examples, an electromagnetic energysensor can be incorporated into an armband, chest band, shirt, pants,pajamas, underwear, or other article of clothing which the person wearswhile sleeping. In this example, the sleep-environment-modifying memberincludes a cooling or heating blanket. In other examples, thesleep-environment-modifying member can include a cooling or heatingmattress, mattress pad, sheet, sleeping bag, or garment.

FIG. 18 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning electromagneticenergy from or transmitted through the person's body; asleep-environment-modifying component which changes the temperature of aflow of air from a central heating, ventilation, and/or air-conditioning(HVAC) system; and a data-control component which controls the operationof the sleep-environment-modifying component in order to automaticallychange the person's sleep environment based on data from thewearable-sensor component.

More specifically, the embodiment shown in FIG. 18 comprises: awrist-worn electromagnetic energy sensor 1802 that is worn by person1801 which collects data concerning electromagnetic energy from (ortransmitted through) the person's wrist, hand, or arm; asleep-environment-modifying component 1804 which changes the temperatureof airflow from vent 1805 coming from a central heating, ventilation,and/or air-conditioning (HVAC) system; and a data-control component 1803which is in wireless communication with sleep-environment-modifyingcomponent 1804 in order to automatically change the temperature ofairflow from vent 1805 based on data from wrist-worn electromagneticenergy sensor 1802. The left side of FIG. 18 shows this embodimentwarming the person's sleep environment via warm air coming from vent1805 based on a first pattern of electromagnetic energy measured byelectromagnetic energy sensor 1802. The right side of FIG. 18 shows thisembodiment cooling the person's sleep environment via cool air comingfrom vent 1805 based on a second pattern of electromagnetic energymeasured by electromagnetic energy sensor 1802.

In an example, a first pattern of electromagnetic energy measured byelectromagnetic energy sensor 1802 can indicate that the person is toowarm or will experience an undesirable upswing in body temperature inthe near future. In an example, a second pattern of electromagneticenergy measured by electromagnetic energy sensor 1802 can indicate thatthe person is too cold or will experience an undesirable drop in bodytemperature in the near future. When undesirable swings in bodytemperature can be predicted by selected patterns of electromagneticenergy measured from the person's wrist, hand, or arm, then the effectsof these undesirable swings can be reduced or avoided by proactivecooling or heating enabled by this invention. In an example, asleep-environment-modifying component can change the temperature, flowrate, direction, or inter-room distribution of a flow of air from acentral heating, ventilation, and/or air-conditioning (HVAC) system. Inanother example, the inter-room distribution of airflow from an HVACsystem can be automatically changed by selectively opening or closingair valves in duct work.

FIG. 19 shows an example of how this invention can be embodied in asystem, device, and method using wearable technology to collect data forautomatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person inbed, wherein this sensor component collects data concerning the person'sskin moisture and/or body moisture level; a sleep-environment-modifyingcomponent which changes the direction of airflow from a portable fan orceiling fan; and a data-control component which controls the operationof the sleep-environment-modifying component in order to automaticallychange the person's sleep environment based on data from thewearable-sensor component.

More specifically, the embodiment shown in FIG. 19 comprises: moisturesensor 1902 that is worn by person 1901 and collects data concerning theperson's skin moisture and/or body moisture level; portable fan 1904with actuator 1905 which changes the direction of the fan's airflow; anddata-control component 1903 which changes the direction of the fan'sairflow based on data from moisture sensor 1902. The left side of FIG.19 shows this example at a first time when the fan's airflow is directedaway from person 1901 and moisture sensor 1902 is collecting data. Theright side of FIG. 19 shows this example at a second time when the fan'sairflow has been directed toward person 1901 based on data from moisturesensor 1902. In an example, when data from moisture sensor 1902indicates that the person's skin is very moist, then this invention cantrigger actuator 1905 to direct airflow from portable fan 1904 towardperson 1901.

In this example, a portable fan which rests on a bedside table. Inanother example, a fan or other air-moving device can be integrated intothe headboard or footboard of a bed. In another example, the fan can bea ceiling fan. In an example, a fan or other air-moving device can bepositioned to move air toward, over, or across a person wearing amoisture sensor, but not move air toward, over, or across another personin the same bed. In various examples, a specific pattern of data from amoisture sensor worn by a person can trigger a change in the direction,volume, and/or speed of airflow from a fan or other air-moving device.

As shown in FIG. 20, this invention can be embodied in a system, device,and method using wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skinmoisture and/or body moisture level; a sleep-environment-modifyingcomponent which changes the inter-room distribution of a flow of airfrom a central heating, ventilation, and/or air-conditioning (HVAC)system; and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 20 comprises: wearablemoisture sensor 2002 worn by person 2001; sleep-environment-modifyingcomponent 2004 which changes the inter-room distribution of airflow froma central heating, ventilation, and/or air-conditioning (HVAC) systemand, thus, airflow through vent 2005; and data-control component 2003which is in wireless communication with sleep-environment-modifyingcomponent 2004 in order to automatically change airflow through vent2005 based on data from wearable moisture sensor 2002. In this example,wearable moisture sensor 2002 is worn on a person's wrist. In otherexamples, a wearable moisture sensor can be worn on a person's arm,hand, chest, head, leg, or foot. In an example, when data from wearablesensor 2002 indicates that the person's skin and/or body is very moist,then a greater proportion of airflow from a central HVAC system can bedirected to the person through vent 2005.

FIG. 21 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skinmoisture and/or body moisture level; a sleep-environment-modifyingcomponent which changes the laminar flow of air and/or other gas incommunication with the surface of the person's body; and a data-controlcomponent which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 21 comprises: a wearablemoisture sensor 2102 worn by person 2101, wherein this sensor collectsdata concerning the person's skin moisture and/or body moisture level; alaminar flow mechanism (further comprising outflow vent 2104 and inflowvent 2105) which directs a laminar airflow 2106 across the person; and adata-control component 2103 which controls the operation of the laminarflow mechanism based on data from the wearable moisture sensor 2102. Inan example, when data from wearable moisture sensor 2102 indicates thata person's skin is very moist, then this triggers laminar airflow 2106over this person. In an example, laminar airflow can draw away excessmoisture from a person's body. In an example, laminar airflow can cool aperson's body by increasing evaporation of moisture from their skin. Inthis example, the data-control component 2103 is co-located with thewearable moisture sensor 2102 on a wrist band. In other examples, adata-control component can be co-located with the laminar airflowmechanism, within a mobile communications device, or located elsewhere.

In an example, use of a laminar airflow can help to direct airflow overperson 2101 without having substantive airflow over another person inthe same bed. In this example, a laminar airflow flows in a longitudinalmanner from the head of the bed to the foot of the bed over one half ofthe bed. In an example, a laminar airflow can flow in the reversedirection, from the foot of the bed to the head of the bed. In anotherexample, a laminar airflow can flow in a diagonal manner, from the headof the bed to a side of the bed. In an example, a laminar airflow cantravel across a portion of a bed in a substantially horizontal plane. Inan example, a laminar airflow can travel across a portion of a bed in asubstantially vertical plane. In an example, asleep-environment-modifying component can: change the direction, flowrate, pressure, humidity, temperature, mixture, and/or source of the airor other gas which the person breathes; change the spatial configurationof the flow of air and/or other gas which the person breathes; controlthe operation of a central longitudinal laminar airflow on a bed; and/orcontrol the operation of a laminar airflow between a first person and asecond person.

FIG. 22 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skinmoisture and/or body moisture level; a sleep-environment-modifyingcomponent which changes the humidity level of airflow from awindow-based air conditioner; and a data-control component whichcontrols the operation of the sleep-environment-modifying component inorder to automatically change the person's sleep environment based ondata from the wearable-sensor component.

More specifically, the embodiment in FIG. 22 comprises: a wrist-wornmoisture sensor 2202 worn by person 2201; a sleep-environment-modifyingcomponent 2205 which changes the humidity level of airflow from awindow-based air conditioner 2204; and a data-control component 2203which controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the person's sleepenvironment based on data from the wearable-sensor component. In thisexample, a moisture sensor is worn by a person on their wrist. In otherexamples, a moisture sensor can be worn on a person's arm, hand, leg,chest, neck, head, or ear. In other examples, one or more moisturesensors can be incorporated into pajamas, underwear, or other garments.

The left side of FIG. 22 shows the invention at a first time whereinairflow from window-based air conditioner 2204 has a first humiditylevel or moisture content based on a first pattern of data fromwrist-worn moisture sensor 2202. The right side of FIG. 22 shows theinvention at a second time wherein airflow from window-based airconditioner 2204 has a second humidity level or moisture content basedon a second pattern of data from wrist-worn moisture sensor 2202. Inthis example, the second humidity level or moisture content is less thanthe first humidity level or moisture content. In an example, thisinvention can reduce the humidity level or moisture content of airflowfrom a window-based air conditioner when data from a wearable moisturesensor indicates that a person's skin is very moist. In an example, awearable-sensor component can collect data concerning the person's skinmoisture and/or body moisture level. In an example, asleep-environment-modifying component can: change the humidity level ofair and/or other gas surrounding a person; change the humidity level ofair and/or other gas in communication with the surface of the person'sbody; and/or change the humidity or moisture level of airflow from awindow-based air conditioner.

The example of this invention shown in FIG. 23 is similar to the exampleshown in FIG. 22 except that it modifies airflow from a central heating,ventilation, and/or air conditioning (HVAC) system rather than airflowfrom a window-based air conditioner. FIG. 23 shows an example of howthis invention can be embodied in a system, device, and method that useswearable technology to collect data for automatic modification of aperson's sleep environment comprising: a wearable-sensor component thatis configured to be worn by a person, wherein this sensor componentcollects data concerning the person's skin moisture and/or body moisturelevel; a sleep-environment-modifying component which changes thehumidity level of a flow of air from a central heating, ventilation,and/or air-conditioning (HVAC) system; and a data-control componentwhich controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the person's sleepenvironment based on data from the wearable-sensor component.

More specifically, the embodiment shown in FIG. 23 comprises: moisturesensor 2302 worn by person 2301 that collects data concerning theperson's skin moisture and/or body moisture level; asleep-environment-modifying component 2304 which changes the humiditylevel of airflow from vent 2305 from a central heating, ventilation,and/or air-conditioning (HVAC) system; and a data-control component 2303which controls the operation of sleep-environment-modifying component2304 in order to automatically change the humidity level of airflow fromvent 2305 based on data from moisture sensor 2302. In the left side ofFIG. 23, airflow from vent 2305 has a first humidity level based on afirst pattern of data from moisture sensor 2302. In the right side ofFIG. 23, airflow from vent 2305 has been changed to have a secondhumidity level based on a second pattern of data from moisture sensor2302. In this example, the second humidity level is less than the firsthumidity level.

In an example, this embodiment can help to selectively anddifferentially cool person 2301 when they get hot and sweaty. In anexample, this embodiment can trigger a dryer flow of air from a centralHVAC system when data from moisture sensor 2302 indicates that person2301 is hot and sweaty. In an example, a dry flow of air can cool person2301 by increasing evaporation of moisture from the person's skin. In anexample, this embodiment can help to dry person 2301 when they get hotand sweaty. In an example, this embodiment can trigger a dryer flow ofair from a central HVAC system when data from moisture sensor 2302indicates that person 2301 is hot and sweaty. In an example, a dry flowof air can dry person 2301 by increasing evaporation of moisture fromthe person's skin. In an alternative example, this embodiment canincrease the humidity level of airflow from a central HVAC system whendata from moisture sensor 2302 indicates that a person's skin is toodry.

In an example, a wearable-sensor component can collect data concerningthe person's skin moisture and/or body moisture level and asleep-environment-modifying component can control the operation of acentral heating, ventilation, and/or air-conditioning (HVAC) system. Inan example, a wearable-sensor component can collect data concerning theperson's skin moisture and/or body moisture level and asleep-environment-modifying component can start or stop a centralheating, ventilation, and/or air-conditioning (HVAC) system.

FIG. 24 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skinmoisture and/or body moisture; a sleep-environment-modifying componentwhich changes the insulation value (e.g. R-value) of a blanket or otherbedding layer over the person; and a data-control component whichcontrols the operation of the sleep-environment-modifying component inorder to automatically change the person's sleep environment based ondata from the wearable-sensor component.

More specifically, the embodiment shown in FIG. 24 comprises: a wearablemoisture sensor 2402 worn by person 2401; a sleep-environment-modifyingcomponent (further comprising air pump 2405 and inflatable blanket 2404)which changes the R-value of blanket 2404 over the person; and adata-control component 2403 which controls the operation of thesleep-environment-modifying component in order to automatically changethe blanket's R-value based on data from wearable moisture sensor 2402.In this example, the data-control component 2303 is co-located withmoisture sensor 2402 in a wrist band. In other examples, data-controlcomponent can be co-located with air pump 2405, part of a mobilecommunications device, or located elsewhere.

The left side of FIG. 24 shows this embodiment at a first point in timewherein the inflatable blanket has an (insulation) R-value of 4 based ona first pattern of data from moisture sensor 2402. The right side ofFIG. 24 shows this embodiment at a second point in time wherein theblanket has been deflated to an (insulation) R-value of 1 based on asecond pattern of data from moisture sensor 2402. In an example, whendata from moisture sensor 2402 indicates that a person's skin is moistand/or sweaty, then this triggers deflation of the inflatable blanket toreduce the blanket's R-value which, in turn, reduces the temperature ofair under the blanket over the person.

In an example, an inflatable blanket can have two sides withseparately-adjustable inflation values in order to enable separateadjustment of the (insulation) R-values of two sides of the bed. In anexample, these two sides can be separated by a central longitudinal axisfrom the head of the blanket to the foot of the blanket. In an example,when combined with wearable sensors which are worn by people who sleepon different sides of the bed, this comprises a system for differentialadjustment of the temperature of the sleeping environments for twopeople in the same bed.

In another example, the R-value of a blanket can be adjusted by meansother than differential inflation. In another example, the R-value of ablanket can be adjusted by changing the thickness of the blanket byactivating an array of microscale actuators or a piezoelectric textile.In an example, a sleep-environment-modifying component can: change thethickness of a blanket or other bedding layer over the person; controlMEMS actuators in a blanket or other bedding layer to change the R-valueof the blanket or other bedding layer; and/or change the thickness of asleeping bag.

FIG. 25 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skinmoisture and/or body moisture level; a sleep-environment-modifyingcomponent which changes the porosity of a blanket or other bedding layercovering the person; and a data-control component which controls theoperation of the sleep-environment-modifying component in order toautomatically change the person's sleep environment based on data fromthe wearable-sensor component.

More specifically, the embodiment shown in FIG. 25 comprises: a wearablemoisture sensor 2502 worn by person 2501 which collects data concerningthe person's skin moisture and/or body moisture level; asleep-environment-modifying component (further comprising blanketcontrol member 2505 and variable-porosity blanket 2504) which changesthe porosity of the portion of blanket 2504 covering the person; and adata-control component 2503 which controls the operation of thesleep-environment-modifying component in order to automatically changethe porosity of the portion of blanket 2504 covering the person based ondata from the wearable moisture sensor 2502. In an example, blanketcontrol member 2505 can change the porosity of variable-porosity blanket2504 by sending a selected electric current through piezoelectricfibers, strands, or textiles in blanket 2504. In an example, blanketcontrol member 2505 can change the porosity of variable-porosity blanket2504 by activating microscale actuators in blanket 2504. In an example,activation of piezoelectric and/or microscale actuators in the blanketcreates or enlarges pores in a blanket that makes the blanket moreporous to airflow.

The left side of FIG. 25 shows this embodiment at a first time whereinvariable-porosity blanket 2504 has a first porosity level which is basedon a first pattern of data from wearable moisture sensor 2502. The rightside of FIG. 25 shows this embodiment at a second time wherein theporosity of variable-porosity blanket 2504 has be changed to a secondporosity level based on a second pattern of data from wearable moisturesensor 2502. In this example, the second porosity level is greater thanthe first porosity level. In an example, when data from wearablemoisture sensor 2502 indicates that person 2501 is sweaty (and/or has ahigh skin moisture level), then this invention can trigger an increasein the porosity of blanket 2504. This enables greater circulation offresh air over the person's body surface which can reduce their skinmoisture level. In an example, the porosity levels of two sides of ablanket can be differentially adjusted to enable greater body surfaceairflow for a first person on a first side of the bed withoutsubstantively changing body surface airflow for a second person onsecond side of the bed. In an example, a sleep-environment-modifyingcomponent of this invention can: change the porosity of a blanket orother bedding layer covering a person; control MEMS actuators in ablanket or other bedding layer to change the porosity of the blanket orother bedding layer; or change the porosity of a sheet over a person.

FIG. 26 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skinmoisture and/or body moisture level; a sleep-environment-modifyingcomponent which changes the porosity of a garment worn by the person;and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

The left side of FIG. 26 shows this example at a first point of timeduring which a moisture sensor 2602 collects data concerning the skinmoisture of person 2601. The right side of FIG. 26 shows this example ata second point in time during which the person's garment 2604 has beenmade more porous in response to data from moisture sensor 2602. Theexample shown in FIG. 26 comprises: moisture sensor 2602 which collectsdata concerning the skin moisture level of person 2601;adjustable-porosity garment 2604 whose porosity is adjusted based ondata from moisture sensor 2602; and data-control component 2603 whichcontrols changes in garment porosity based on data from moisture sensor2602.

In an example, garment 2604 can be an upper body garment, a lower bodygarment, or a combined upper and lower body garment. In an example,garment 2604 can be connected to an electromagnetic control unit bywires. In an example, garment 2604 can be in wireless electromagneticcommunication with an electromagnetic control unit. In this example,garment 2604 further comprises piezoelectric fabric whose porosity ischanged by electromagnetic energy coming through wire 2606 fromelectromagnetic control unit 2605. In an example, application ofelectromagnetic energy to piezoelectric fabric decreases the width offibers in a weave and thereby increases fabric porosity. In an example,garment 2604 can comprise a textile with an array of inflatable fibers.In an example, the porosity of garment 2604 can be adjustable byinflation or deflation of this array of inflatable fibers.

In an example, adjustable-porosity garment 2604 has a first porositylevel when the skin moisture of person 2601 is at a first moisture leveland the porosity of adjustable-porosity garment 2604 is changed to asecond porosity level when the skin moisture of person 2601 changes to asecond moisture level. In an example, the second moisture level isgreater than the first moisture level and the second porosity level isgreater than the first porosity level. In an example, an automaticincrease in a garment's porosity based on an increase in skin moisturecan help to evaporate and remove excess skin moisture, such as during ahot flash while a person sleeps.

FIG. 27 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning light absorbed bythe person's body or reflected from the person's body; asleep-environment-modifying component which changes the mixture orcomposition of air and/or other gas which the person breathes; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

The example shown in FIG. 27 comprises: light-emitting member 2703;light sensor 2704; power source or transducer 2705; breathable gas tube2707; respiratory mask 2708; and data-control component 2706. In thisexample, data-control component 2706 changes the composition of airand/or gas which person 2701 breathes based on changes in data fromlight sensor 2704. In an example, when data from light sensor 2704indicates a drop in the person's oxygen saturation level, thendata-control component 2706 increases oxygen-rich gas flow through gastube 2707.

In an example, light-emitting member 2703 and light sensor 2704 areco-located on wrist band 2702. In other examples, a light-emittingmember and a light sensor can be co-located on another type of wearabledevice or incorporated into a garment that is worn by a person whilethey sleep. In an example, light-emitting member 2703 emits light energytoward the person's body. In an example, a light-emitting member directslight energy toward a portion of the person's body and a light sensormeasures light reflected off the surface of the person's body or lightpassing through a portion of the person's body.

In an example, light energy emitted from light-emitting member 2703 canbe coherent light. In an example, this light energy can be non-coherentlight. In an example, light-emitting member 2703 can emit light in thevisible portion of the light spectrum, in the infrared or near infraredportion of the light spectrum, and/or in the ultraviolet portion of thelight spectrum. In an example, light sensor 2704 collects dataconcerning light energy which is reflected from, transmitted through, orabsorbed by tissue of the person's body. In an example, light energywhich is reflected from, transmitted through, or absorbed by body tissueis analyzed using spectroscopy. In an example, light sensor 2704 can bea spectroscopic sensor.

In an example, analysis of data from light sensor 2704 can provideinformation concerning the person's oxygen saturation level. In anexample, spectral analysis of light reflected from, transmitted through,or absorbed by the person's body tissue can indicate whether theperson's body is receiving sufficient oxygen. In an example, when datafrom light sensor 2704 indicates that person 2701 has low oxygenation,then this invention can increase a flow of oxygen-rich gas throughbreathable gas tube 2707 into mask 2708. This increases the proportionand/or mixture of oxygen in gas breathed by the person through mask2708. In an example, this can help to increase the person's oxygen levelduring episodes of obstructive sleep apnea or other temporary adverserespiratory events during sleep. In another example, when data fromlight sensor 2704 indicates low oxygen saturation, then this inventioncan increase the pressure of gas flow through gas tube 2707. This canprovide a temporary increase in airway pressure which can address anepisode of obstructive sleep apnea.

The left side of FIG. 27 shows a first level of oxygen-rich air comingthrough breathable gas tube 2707 in response to a first level of oxygensaturation based on data from light sensor 2704. The right side of FIG.27 shows a second level of oxygen-rich air coming through breathable gastube 2707 in response to a second level of oxygen saturation based ondata from light sensor 2704. In this example, the second level ofoxygen-rich air is greater than the first level of oxygen-rich air. Thisis indicated by a thicker dotted-line “flow arrow” following breathablegas tube 2707 on the right side of FIG. 27 than on the left side of FIG.27. In this example, the second level of oxygen saturation is lower thanthe first level of oxygen saturation. In this example, a lower level ofoxygen saturation at the second point in time shown on the right side ofFIG. 27 triggers a greater level of oxygen-rich air. In an example, anautomatic increase in the oxygen level based on a person's low oxygensaturation can help to prevent the person having prolonged oxygendeprivation.

In an example, a wearable light sensor can collect data concerning lightenergy which is reflected from, transmitted through, and/or absorbed bya person's body. This data can then be analyzed and one or more selecteddata patterns can trigger one or more selected changes in the mixture ofair and/or other gas from multiple sources which the person breathes. Inan example, a first gas source can be a non-ambient gas source (such aspure oxygen) and a second gas source can be ambient air. In an example,this invention can adjust the mixture, relative volume, rate,concentration, pressure and/or temperature of gas flow from anon-ambient source vs. ambient air based on data from a wearable lightsensor.

FIG. 28 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning light absorbed bythe person's body or reflected from the person's body; asleep-environment-modifying component which changes the pressure of airand/or other gas which the person breathes; and a data-control componentwhich controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the person's sleepenvironment based on data from the wearable-sensor component.

Specifically, the example shown in FIG. 28 comprises: light-emittingmember 2803; light sensor 2804; and air-moving member 2805. In thisexample, these three components are co-located as parts of respiratoryair mask 2802 which is worn by person 2801. In this example, theoperation of air-moving member 2803 is controlled by analysis of datafrom light sensor 2804. In an example, air-moving member 2803 can beturned on or off based on data from light sensor 2804. In an example,the flow speed of air moved by air-moving member 2803 can be increasedor decreased based on data from light sensor 2804. In an example,air-moving member 2803 can be an impellor or fan. In an example, therotational speed of air-moving member 2803 can be increased or decreasedbased on data collected by light sensor 2804.

In an example, light-emitting member 2803 directs a beam of light towarda portion of the body of person 2801. In an example, this beam of lightis reflected off of the surface of the person's body. In an example,this beam of light passes through the tissue of the person's body. In anexample, this beam of light can be selected from the group consistingof: visible light; infrared light; near infrared light; and ultravioletlight. In an example, this beam of light can be coherent light. In anexample, this beam of light can be non-coherent light.

In an example, light sensor 2804 collects data concerning light that isreflected from, passes through, and/or is absorbed by a portion of theperson's body. In an example, data from light sensor 2804 can beanalyzed using spectroscopic analysis. In an example, the spectrum oflight which is reflected from, transmitted through, and/or absorbed bybody tissue can be analyzed. In an example, spectral analysis of lightwhich is reflected from, transmitted through, and/or absorbed by bodytissue can provide information concerning physiological processes ormedical conditions in the person's body. In an example, spectralanalysis of light reflected from, transmitted through, and/or absorbedby body tissue can provide information concerning oxygen saturationlevel, respiratory function, glucose level, body temperature, and/orcardiac function. In an example, light sensor 2804 measures the amount,intensity, or spectrum of light which is reflected from tissue in aportion of the body of person 2801. In an example, light sensor 2804measures the amount, intensity, or spectrum of light which passesthrough tissue in a portion of the body of person 2801.

The left side of FIG. 28 shows air-moving member 2803 spinning at afirst speed based on a first pattern of data from light sensor 2804. Theright side of FIG. 28 shows air-moving member 2803 spinning at a secondspeed based on a second pattern of data from light sensor 2804. In anexample, the second speed is faster than the first speed. In an example,the faster speed can increase the pressure of airflow which person 2801breathes in order to provide positive airway pressure to address anepisode of temporary airway obstruction. In an example, when data fromlight sensor 2804 indicates a low level of oxygen saturation, then thisinvention increases the speed of air-moving member 2803 in order toprovide increased air pressure to open up the person's airway. In thisexample, this invention can function as a bio-interactive mask toaddress obstructive sleep apnea. In an example, respiratory air mask2802 can address obstructive sleep apnea by increasing the rotation rateof air-moving member 2803 (and thus the pressure of air breathed byperson 2801) in response to lower oxygen saturation as measured by datafrom light sensor 2804.

FIG. 29 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning light absorbed bythe person's body or reflected from the person's body; asleep-environment-modifying component which changes the temperature,flow rate, direction, or inter-room distribution of a flow of air from acentral heating, ventilation, and/or air-conditioning (HVAC) system; anda data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the example shown in FIG. 29 comprises:light-emitting member 2903; light sensor 2904; heating, ventilation,and/or air-conditioning (HVAC) system control unit 2906; anddata-control component 2905. In this example, data-control component2905 controls the temperature, flow rate, direction, and/or inter-roomdistribution of an HVAC system based on data from light sensor 2904. Inthis example, air from the HVAC system enters the bedroom of person 2901through vent 2907. In another example, the inter-room distribution ofairflow from an HVAC system can be automatically changed by selectivelyopening or closing air valves in duct work.

In this example, light-emitting member 2903, light sensor 2904, anddata-control component 2905 are co-located as parts of a wrist-worn band2902. In another example, these components can be co-located in anotherwearable device or integrated into a garment. In another example, adata-control component can be part of a mobile communication device suchas a smart phone. In another example, a data-control component can beco-located with a HVAC system control unit. In an example, this devicecan be part of an overall home environmental control system.

In an example, light-emitting member emits a beam of light which isdirected toward the body of person 2901. In an example, this beam oflight is selected from the group consisting of: visible light, infraredlight, near-infrared light, and ultraviolet light. In an example, thisbeam of light is coherent. In an example, this beam of light isnon-coherent. In an example, this beam of light is reflected off thesurface of the person's body and sensed by light sensor 2904. In anexample, the beam of light is partially transmitted through the tissueof the person's body and sensed by light sensor 2904. In an example,light sensor 2904 collects data concerning light that is reflected from,transmitted through, and/or absorbed by the person's body.

In an example, light sensor 2904 collects data concerning the amount,intensity, and/or spectrum of light that is reflected from, transmittedthrough, and/or absorbed by the person's body. In an example, data fromlight sensor 2904 is analyzed using spectroscopic analysis. In anexample, spectroscopic analysis of data from light sensor 2904 providesinformation concerning oxygen saturation, respiratory function, glucoselevel, cardiac function, body temperature, sleep status, and/or sleepphase. In an example, light sensor 2904 measures the intensity and/orspectrum of light reflected from the tissue and/or surface of a portionof the body of person 2901. In an example, light sensor 2904 measuresthe intensity and/or spectrum of light passing through the tissue of aportion of the body of person 2901. In an example, light sensor 2904measures the intensity and/or spectrum of light absorbed by the tissueof a portion of the body of person 2901. In an example, light sensor2904 is a spectroscopic sensor. In an example, the spectrum of lightreflected, transmitted, or absorbed by tissue is used to collectinformation on the level of oxygen in the blood or tissue of person2901.

The left side of FIG. 29 shows this example at a first point in timewherein: there is a first pattern of data collected from light sensor2904; and air from vent 2907 is set to be at a first temperature. Theright side of FIG. 29 shows this example at a second point in timewherein: there is a second pattern of data collected from light sensor2904; and air from vent 2907 is set to be at a second temperature. In anexample, the second temperature is lower than the first temperature, asindicated by the “sun” symbol above vent 2907 on the left side of FIG.29 and the “snowflake” symbol above vent 2907 on the right side of FIG.29. In an example, the first pattern of data (on the left side of thisfigure) triggers the lower airflow temperature (on the right side ofthis figure) after a lag time. In an example, the second pattern of data(on the right side of this figure) triggers the lower airflowtemperature (on the right side of this figure) in real time (virtuallyimmediately).

In an example, analysis of data from light sensor 2904 can predict whenperson 2901 is likely to experience a temporary biologically-inducedupswing in temperature such as a hot flash. In an example, suchprediction can be used to trigger a prophylactic decrease in airflowtemperature from vent 2907, before the upswing in body temperatureoccurs, so as to mitigate (or even avoid) the effects of the upswing.Since biologically-induced changes in body temperature can occur sorapidly, it can be advantageous to use predictive data from a wearablesensor which can detect changes in body chemistry, function, and/ortemperature sooner than a non-wearable sensor. Also, in an example,analysis of data from light sensor 2904 can predict the duration of atemporary biologically-induced upswing in body temperature. Thepredicted duration of biologically-induced upswing in body temperaturecan be used to control the duration of a temporary decrease in airtemperature from vent 2907.

In an example, HVAC system control unit 2906 can temporarily decreasethe temperature of all air coming from the HVAC system throughout theentire house in response to data from light sensor 2904. In an example,HVAC system control unit 2906 can adjust the inter-room distribution ofthermal energy via an HVAC system. In an example, HVAC system controlunit 2906 can transfer thermal energy from one room to another within ahome in order to temporarily adjust temperature of the room in whichperson 2901 is sleeping based on data from light sensor 2904.

FIG. 30 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by person 3001,wherein this sensor component collects data concerning the person's bodymotion or configuration; a sleep-environment-modifying component whichchanges the filtering, auto-response, notification mode, notificationtiming, or user interface for communications sent to the person; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

The example shown in FIG. 30 comprises: motion sensor 3002; and wirelesscommunications component 3003. In this example, motion sensor 3002 is anaccelerometer. In other examples, motion sensor 3002 can be a gyroscopeor inclinometer. In this example, wireless communications component 3003can receive phone calls, text messages, and/or emails. In this example,a selected pattern of data from motion sensor 3002 triggers a change inthe filtering, auto-response, notification mode, notification timing, oruser interface for communications sent to wireless communicationscomponent 3003. In an example, when data from motion sensor 3002indicates that person 3001 is probably sleeping, then this triggers achange in the filtering, auto-response, notification mode, notificationtiming, or user interface for communications sent to wirelesscommunications component 3003.

In this example, when data from motion sensor 3002 indicates that person3001 is probably sleeping, then this triggers an auto-response messageto communications sent to wireless communications component 3003. In anexample, this auto-response message can be—“I am unavailable at thistime”, “I cannot answer now but please leave a message,” “I am asleep,”or simply “Z-Z-Z-Z.” In this example, lack of an auto-response messageis indicated by the “circle and diagonal slash” symbol shown on the leftside of FIG. 30. In this example, activation of an auto-response messageis indicated by the “U-turn arrow” symbol shown on the right side ofFIG. 30.

The left side of FIG. 30 shows this example at a first point in time,wherein a first pattern of data from motion sensor 3002 indicates afirst level of movement by person 3001. The right side of FIG. 30 showsthis example at a second point in time, wherein a second pattern of datafrom motion sensor 3002 indicates a second level of movement by person3001. In this example, the first level of movement is greater than thesecond level of movement, as is symbolically-indicated by wiggly dottedlines around f the person's hand on the left side of FIG. 30, but not onthe right side of FIG. 30. In this example, the first level of movement(on the left side of FIG. 30) indicates that the person is probablyawake and the second level of movement (on the right side of FIG. 30)indicates that the person is probably sleeping.

In this example, wireless communications component 3003 operates withoutan auto-response function when the person is probably awake (as shown onthe left side of FIG. 30) based on data from motion sensor 3002 andoperates with an auto-response function when the person is probablyasleep (as shown on the right side of FIG. 30) based on data from motionsensor 3002. In an example, when the person is awake, then thisinvention can provide the person with normal notifications of incomingcommunications. However, when the person is asleep, then this inventioncan mute notifications of incoming communications and providecommunication senders with an auto-response message so that they knowthat the person is not just ignoring their communication. In an example,this auto-response message can generally say that the person is notavailable to receive communications at this time or can explicitly saythat the person is sleeping. In an example, this invention can enable aperson to maintain as much electronic connectivity as possible withouthaving their sleep disturbed.

In other examples, data from a wearable motion sensor can be used toautomatically change a user interface mode for communications sent tothe person from a touch-based user interface to a sound-based interfaceor from a visual-based user interface to a sound-based interface; changean auto-response message given in response to communications sent to theperson; change the filtering of communications sent to the person;and/or change which communication types or sources result in immediatenotification of the person.

FIG. 31 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's bodymotion or configuration; a sleep-environment-modifying component whichchanges a communication notification mode for communications sent to theperson from sound-based notification to visual-based notification, orvice versa; and a data-control component which controls the operation ofthe sleep-environment-modifying component in order to automaticallychange the person's sleep environment based on data from thewearable-sensor component.

More specifically, the example in FIG. 31 comprises: motion sensor 3102;and wireless communication component 3103. In this example, thecommunication notification mode of wireless communication component 3103is changed based on data from motion sensor 3102. In this example, thecommunication mode is changed from a sound-based notification mode to alight-based notification mode when data from motion sensor 3102indicates that person 3101 is probably sleeping. In an example, alight-based notification mode is less likely to disturb the person'ssleep than a sound-based notification mode. This can enable person 3101to maintain electronic connectivity while awake without being disturbedby incoming communications when asleep. In this example, the person'ssleep status is inferred by a lack of motion detected by motion sensor3102. In an example, specific patterns of motion detected by motionsensor 3102 can indicate that a person is probably awake and lack ofthose specific patterns of motion can indicate that the person isprobably sleeping.

The left side of FIG. 31 shows this example at a first point in timewherein person 3101 is evaluated as being awake based on patterns ofdata from motion sensor 3102 which indicate a high level of movementand/or a specific pattern of movement. Accordingly, at this first pointin time, incoming communications to person 3101 trigger a sound-basednotification indicated by the “bell” symbol on the left side of FIG. 31.The right side of FIG. 31 shows this example at a second point in timewherein person 3101 is evaluated as being asleep based on patterns ofdata from motion sensor 3102 which indicate a low level of movementand/or lack of a specific pattern of movement. Accordingly, at thissecond point in time, incoming communications to person 3101 trigger alight-based notification, as symbolically indicated by the dotted linesextending from the wrist band on the right side of FIG. 31. In anexample, light-based notification is less likely to disturb the person'ssleep than is sound-based notification. In an example, this change innotification mode based on sleep status can help person 3101 to maintainelectronic connectivity while they are awake, without having incomingcommunications disturb them when they are asleep.

FIG. 32 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's bodymotion or configuration; a sleep-environment-modifying component whichchanges a communication notification mode for communications sent to theperson from tactile-based notification to visual-based notification, orvice versa; and a data-control component which controls the operation ofthe sleep-environment-modifying component in order to automaticallychange the person's sleep environment based on data from thewearable-sensor component.

More specifically, the example shown in FIG. 32 comprises: motion sensor3202; and wireless communication component 3203. In this example, thecommunication notification mode of wireless communication component 3203is changed based on data from motion sensor 3202. In this example, thecommunication mode is changed from a tactile-based notification to alight-based notification when data from motion sensor 3202 indicatesthat person 3201 is probably sleeping. The left side of FIG. 32 showsthis example at a first point in time wherein person 3201 is awake,based on analysis of data from motion sensor 3202 which indicates a highlevel of movement and/or a specific pattern of movement. Accordingly, atthis first point in time, incoming communications to person 3201 triggera tactile-based notification. In this example, tactile-basednotification comprises a mild contraction of the wrist band which housesmotion sensor 3202 and wireless communication component 3203. In anotherexample, tactile-based notification can comprise one or more movingmembers of a wearable device which move over the surface of the person'sskin when there is an incoming communication.

The right side of FIG. 32 shows this example at a second point in timewherein person 3201 is asleep, based on analysis of data from motionsensor 3202 which indicates a low level of movement and/or lack of aspecific pattern of movement. On the right side of FIG. 32, thecommunication mode has been changed to light-based notification. In anexample, light-based notification is less likely to disturb the person'ssleep than is tactile-based notification. In an example, this examplecan help a person to maintain electronic connectivity while they areawake without having incoming communications disturb them when they areasleep.

In this example, changes in data from a wearable motion sensor can beused to trigger a change in the communication notification mode of awearable communications device. In an example, changes in data from awearable motion sensor can be used to trigger a change in thecommunication notification mode of a non-wearable communications device.In an example, changes in data from a wearable motion sensor can be usedto trigger a change in the communication notification mode of a smartphone or other non-wearable mobile communications device. In an examplea wearable device with a motion sensor can be in wireless communicationwith a smart phone or other non-wearable mobile communications device.In an example, when data from a wearable motion sensor indicates that aperson is probably sleeping, then this can trigger a change in thecommunication notification mode of a smart phone or other non-wearablemobile communications device or mute sound-based communicationnotifications from a smart phone or other mobile communications device.

As shown in FIG. 33, this invention can be embodied in a system, device,and method that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's bodymotion or configuration; a sleep-environment-modifying component whichchanges a communication notification mode for communications sent to theperson from vibration-based notification to visual-based notification,or vice versa; and a data-control component which controls the operationof the sleep-environment-modifying component in order to automaticallychange the person's sleep environment based on data from thewearable-sensor component. Specifically, the example shown in FIG. 33comprises: wearable motion sensor 3302; and wireless communicationcomponent 3303, wherein a communication notification mode of thiscomponent is changed based on data from motion sensor 3302. In thisexample, the communication mode is changed from a vibration-basednotification mode to a light-based notification mode when data frommotion sensor 3302 indicates that person 3301 is probably sleeping. Inan example, sleep status can be inferred from analysis of patterns ofdata from motion sensor 3302. In an example, movements of a particularmagnitude, frequency, or configuration can indicate that person 3301 isprobably awake. In an example, lack of such movements for a selectedperiod of time can indicate that person 3301 is probably asleep. In analternative example, the person's sleep status can be determined by acamera attached to the headboard which detects a sequence of little “Z”symbols ascending from the person's head.

The left side of FIG. 33 shows this example at a first point in timewherein person 3301 is probably awake based on analysis of data frommotion sensor 3302 which indicates a selected pattern, amount,frequency, or configuration of body motion. Accordingly, at this firstpoint in time, incoming communications to person 3301 trigger avibration-based notification. The right side of FIG. 33 shows thisexample at a second point in time wherein person 3301 is probably asleepbased on analysis of data from motion sensor 3302 which indicates thelack of a selected pattern, amount, frequency, or configuration of bodymotion. Accordingly, at this second point in time, incomingcommunications to person 3301 trigger a light-based notification. In anexample, light-based notification is less likely to disturb the person'ssleep than vibration-based notification. In an example, this exampleembodiment of the invention can help person 3301 to maintain electronicconnectivity when awake, without having incoming communications disturbthem when asleep.

FIG. 34 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's bodymotion or configuration; a sleep-environment-modifying component whichchanges the direction of a flow of air coming from a portable fan orceiling fan; and a data-control component which controls the operationof the sleep-environment-modifying component in order to automaticallychange the person's sleep environment based on data from thewearable-sensor component. The left portion of this figure shows thisexample at a first point in time and the right portion of this figureshows this example at a second point in time, in sequence, to show howsensor data is used to modify the person's sleep environment.

More specifically, the example shown in FIG. 34 comprises: wearablemotion sensor 3402; power source or transducer 3403; portable fan 3404;and data-control component 3405 which changes the direction of airflowfrom portable fan 3404 based on data from wearable motion sensor 3402.In an example, when data collected by wearable motion sensor 3402indicates a selected amount, frequency, and/or configuration of bodymotion, then data-control component 3405 moves portable fan 3404 so asto direct airflow toward person 3401. In an example, when data collectedby wearable motion sensor 3402 indicates a selected amount, frequency,and/or configuration of body motion, then the data-control componentturns on portable fan 3404.

The left side of FIG. 34 shows active movement of the person's handwhich is detected by data collected from motion sensor 3402. The rightside of FIG. 34 shows portable fan 3404 having been turned toward theperson by data-control component 3405 in response to active movement ofthe person's hand. In this example, a high level of motion by person3401 has triggered airflow from a portable fan to be directed toward theperson. For example, airflow can be directed toward the person when theyare awake, but not when they are asleep. In another example, a low levelof motion by person 3401 can trigger airflow from a portable fan to bedirected toward the person. For example, airflow can be directed towardthe person when they are asleep, but not when they are awake. In anexample, if a person becomes restless in their sleep when they are toowarm, then this device can direct airflow toward the person when theytransition from a period of less movement to a period of greatermovement. In an example, if a person becomes restless in their sleepwhen they are too cold, then this device can direct airflow away fromthe person when they transition from a period of less movement to aperiod of greater movement.

In this example, the data-control component is co-located with theportable fan. In an example, a data-control component can be co-locatedwith motion sensor 3402 on a wrist band or other wearable device. In anexample, a data-control component can be part of a non-wearableelectronic device such as a smart phone. In this example, the fan is aportable fan which rests on a surface in the person's bedroom. Inanother example, a fan can be a ceiling fan or a fan which is attachedto the bed headboard. In an example, a wearable motion sensor cancollect data concerning a person's body motion or configuration andcause changes in: the direction of a flow of air and/or other gas whichthe person breathes; the flow of air and/or other gas in communicationwith the surface of the person's body; or the operation of a portablefan or blower which directs airflow toward the person's body.

The example of this invention which is shown in FIG. 35 is similar tothe one shown in FIG. 34, except that airflow comes from a window-basedair conditioner rather than a fan. A significant difference is that awindow-based air conditioner can change the temperature of airflow aswell as the direction and volume of airflow. FIG. 35 shows an example ofhow this invention can be embodied in a system, device, and method thatuses wearable technology to collect data for automatic modification of aperson's sleep environment comprising: a wearable-sensor component thatis configured to be worn by a person, wherein this sensor componentcollects data concerning the person's body motion or configuration; asleep-environment-modifying component which changes the direction of aflow of air from a window-based air conditioner; and a data-controlcomponent which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the example shown in FIG. 35 comprises: wearablemotion sensor 3502; power source or transducer 3503; window-based airconditioner 3504; and data-control component 3505 which controls theoperation of window-based air conditioner 3504 based on data fromwearable motion sensor 3502. In an example, wearable motion sensor 3502collects data concerning the person's body motion or configuration anddata-control component 3505 changes the direction, volume, ortemperature of airflow from window-based air conditioner 3504. In thisexample, a decrease in body motion from the left side of FIG. 35 to theright side of FIG. 35, as detected by wearable motion sensor 3502,triggers a shift in the direction of airflow from window-based airconditioner 3504 toward person 3501. In an alternative example, anincrease in body motion could trigger a shift in the direction ofairflow from window-based air conditioner 3504 toward person 3501. In anexample, a shift in the direction of airflow from a window-based airconditioner can be implemented by changing the orientation of slats orvents in the outflow pathway of the air conditioner.

In the example shown in FIG. 35, a change in body motion detected by amotion sensor triggers a change in the direction of airflow from awindow-based air conditioner. In another example, a change in bodymotion detected by a motion sensor can trigger a chance in the volume orspeed of airflow from a window-based air conditioner. In anotherexample, a change in body motion detected by a motion sensor can triggera change in the temperature of airflow from a window-based airconditioner. In an example, if a particular level, frequency, or patternof body motion is associated with a hot flash, then this invention cantrigger increased airflow or cooler airflow toward a person when theperson's pattern of body motion indicates that a hot flash is occurringor is likely to occur soon.

FIG. 36 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's bodymotion or configuration; a sleep-environment-modifying component whichchanges the direction of a flow of air from a central heating,ventilation, and/or air-conditioning (HVAC) system; and a data-controlcomponent which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the example shown in FIG. 36 comprises: a wearablemotion sensor 3602; a power source or transducer 3603; a centralheating, ventilation, and/or air conditioning (HVAC) system control unit3604; and a vent 3605 for airflow from the HVAC system. In this example,the direction, volume, speed, or temperature of airflow from vent 3605is controlled by HVAC control unit 3604 based on data from wearablemotion sensor 3602. In this example, when person 3601 is relativelyactive, as detected by data collected from wearable motion sensor 3602(shown on the left side of FIG. 36), then airflow from vent 3605 is notdirected toward person 3601. However, when person 3601 becomesrelatively inactive, as detected by data collected from wearable motionsensor 3601 (shown on the right side of FIG. 36), then airflow from vent3605 is directed toward person 3601. In an example, HVAC system controlunit 3604 can change the direction of airflow from vent 3605 by changingthe orientation of slats on vent 3605.

In an example, a wearable motion sensor can collect data concerning aperson's body motion or configuration and a sleep-environment-modifyingcomponent can change the inter-room distribution of a flow of air from acentral heating, ventilation, and/or air-conditioning (HVAC) system. Inanother example, the inter-room distribution of airflow from an HVACsystem can be automatically changed by selectively opening or closingair valves in duct work. In an example, a wearable motion sensor cancollect data concerning a person's body motion or configuration and asleep-environment-modifying component can change the rate of the flow ofair from a central heating, ventilation, and/or air-conditioning (HVAC)system.

In this example, one or more aspects of the operation of a central HVACsystem are changed based on data from a wearable motion sensor. In thisexample, one or more aspects of the operation of a central HVAC systemcan be changed based on data from a wearable temperature sensor. In thisexample, one or more aspects of the operation of a central HVAC systemcan be changed based on data from a wearable electromagnetic energysensor. In various examples, these operational aspects can include: achange in the volume or airflow through the central HVAC system; achange in the inter-room distribution of airflow from a central HVACsystem; a change in the temperature of airflow from a central HVACsystem; and a change in the direction of airflow from a central HVACsystem coming from a specific room vent.

FIG. 37 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's bodymotion or configuration; a sleep-environment-modifying component whichchanges the firmness of a bedding surface on which the person lies; anda data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

Specifically, the example shown in FIG. 37 comprises: motion sensor 3702worn by person 3701; adjustable-firmness mattress 3704; and data-controlcomponent 3703. In this example, the firmness of mattress 3704 can beincreased by inflation using air pump 3705 or can be decreased bydeflation using air pump 3705. In this example, the operation of airpump 3705 is controlled by data-control component 3703 based on datacollected by motion sensor 3702. In the left side of FIG. 37, mattress3704 is inflated to a durometer of 60 based on a first pattern of motionas measured by motion sensor 3702. In the right side of FIG. 37,mattress 3704 is further inflated to a durometer of 80 based on a secondpattern of motion as measured by motion sensor 3702. In an example, thesecond pattern of motion involves less motion than the first pattern ofmotion. In an example, a (portion of a) mattress on which a personsleeps can be adjusted to a higher durometer (or other measure offirmness) when the person is restless, as measured by motion sensor3702. In another example, a (portion of a) mattress on which a personsleeps can be adjusted to a lower durometer (or other level of firmness)when the person is restless, as measured by motion sensor 3702.

In an example, a wearable motion sensor can collect data concerning aperson's body motion or configuration. In an example, this data can beuse to change: the firmness of a mattress or other bedding material onwhich a person lies; the compressive resistance of springs in a boxspring; the compressive resistance of springs in a mattress; thedurometer or shore value of a bedding surface on which a person lies;the durometer or shore value of a mattress on which a person lies; theinflation or pressure level of a mattress on which a person lies; andthe inflation or pressure level of a mattress pad on which a personlies.

FIG. 38 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's bodymotion or configuration; a sleep-environment-modifying component whichchanges the R-value a blanket or other bedding layer over the person;and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 38 comprises: motionsensor 3802 worn by person 3801; adjustable R-value blanket 3804; anddata-control component 3803 which adjusts the R-value of blanket 3804based on data from motion sensor 3802. In this example, the R-value ofblanket 3804 is adjusted by its inflation or deflation by air pump 3805.In this example, the operation of air pump 3805 is controlled bydata-control component 3803 based on data from motion sensor 3802. Theleft side of FIG. 38 shows blanket 3804 with a higher R-value (4) basedon a higher level of body motion, as detected by motion sensor 3802. Theright side of FIG. 38 shows blanket 3804 with a lower R-value (1) basedon a lower level of body motion, as detected by motion sensor 3802. Inthis example, the R value of adjustable R-value blanket 3804 isdecreased by partial deflation using air pump 3805.

In an example, a selected level or frequency of body motion canautomatically trigger a change in the R-value of a blanket. In anexample, an intentional pattern of hand or arm motion can be used tocontrol the R-value of a blanket. In an example, when a person slidestheir hand or arm upwards toward the head of the bed, this increases theR-value of a blanket and when the person slides their hand or armdownwards toward the foot of the bed, this decreases the R-value of ablanket. In an example, when a person shakes their hand, this decreasesthe R-value of a blanket. In an example, when a person pulls a blanketup closer to their head, this increases the R-value of the blanket. Inan example, when a person pulls a blanket down away from their head,this decreases the R-value of the blanket. In an example, thetemperature of an electric blanket can be controlled in a like mannerbased on motions of a person's body. In an example, a wearable-sensorcomponent can collect data concerning the person's body motion orconfiguration. In an example, this data can be used to change thethickness of a blanket or other bedding layer over the person and/orcontrol MEMS actuators in a blanket or other bedding layer to change theR-value of a blanket or other bedding layer.

As shown in FIG. 39, this invention can also be embodied in a system,device, and method that uses wearable technology to collect data forautomatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's bodymotion or configuration; a sleep-environment-modifying component whichemits light; and a data-control component which controls the operationof the sleep-environment-modifying component in order to automaticallychange the person's sleep environment based on data from thewearable-sensor component.

In detail, the example that is shown in FIG. 39 comprises: wearablemotion sensor 3902 configured to be worn by person 3901;bed-illuminating lights 3904; and data-control component 3903. In thisexample, data-control component 3903 controls the operation ofbed-illuminating lights 3904 based on data from wearable motion sensor3902. In this example, when the person is more active, then the lightsare on, as shown on the left side of FIG. 39. However, when the personbecomes inactive, then the lights turn off, as shown on the right sideof FIG. 39. In an example, this can cause lights to be on when a personis awake and lights to go off when a person falls asleep. In otherexamples, the level of brightness or intensity of lights 3904 can bechanged by the level of activity of person 3901. In other examples, thecolor of lights 3904 can be changed by selected levels or patterns ofbody motion as measured by wearable motion sensor 3902. In this example,lights which are controlled by data from motion sensor 3902 areintegrated into a bed structure. In other examples, data from motionsensor 3902 can control the operation of lights elsewhere in the room.

FIG. 40 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's bodymotion or configuration; a sleep-environment-modifying component whichcontrols the operation of an acoustic partition or barrier between asecond person and the person; and a data-control component whichcontrols the operation of the sleep-environment-modifying component inorder to automatically change the person's sleep environment based ondata from the wearable-sensor component.

More specifically, the example in FIG. 40 comprises: a wearable motionsensor 4002 which is worn by person 4001; an acoustic partition 4004which moves downward to separate two sides of a bed; and a data-controlcomponent 4003 which controls the operation of acoustic partition 4004based on data from wearable motion sensor 4002. In an example, when datafrom wearable motion sensor 4002 shows a pattern of activity whichsuggests that person 4001 is awake, then data-control component 4003keeps acoustic partition 4004 in a retracted position. This is shown onthe left side of FIG. 40. However, when data from wearable motion sensor4002 shows a pattern of inactivity which suggests that person 4001 isasleep, then data-control component 4003 lowers acoustic partition 4004between person 4001 and another person on the other side of the bed. Inan example, an automatically-deployed acoustic partition such as thisone can enable a couple to fall asleep together in the same bed, butthen create an acoustic partition when they are asleep so that oneperson's snoring does not bother the other person.

In this example, an acoustic partition comprises a single plane. In thisexample, an acoustic partition can comprise multiple planes or a concaveenclosure. In this example, an acoustic partition is dropped down in avertical manner from a roller suspended above the central longitudinalaxis of a bed. In another example, an acoustic partition can be movedinto place in a horizontal manner, spanning between the head of a bedand the foot of the bed. In this example, an acoustic partition isdeployed by unrolling it. In another example, an acoustic partition canbe deployed by inflating it. In another example, an acoustic partitioncan be deployed by unfolding it. In another example, an acousticpartition can be deployed by expanding it. In an example, an acousticpartition can be deployed by lowering it over a person. In an example, amotion sensor can be an accelerometer. In an example, a motion can be agyroscope or inclinometer. In an example, data from a motion sensor canbe used to: control the operation of an acoustic partition or barrierbetween a first person and a second person in the same bed; or controlthe operation of a central longitudinal acoustic partition or barrier ona bed.

As shown in FIG. 41, this invention can be embodied in a system, device,and method that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'soxygen saturation; a sleep-environment-modifying component which changesthe rate of the flow of air and/or other gas which the person breathes;and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the example shown in FIG. 41 comprises: oxygensaturation sensor 4102; and air-moving member 4103. In this example, theoperation of air-moving member 4103 is changed based on data from oxygensaturation sensor 4102. In an example, when data from oxygen saturationsensor 4102 indicates a low level of oxygen saturation, then thistriggers an increase the volume, speed, and/or pressure of airflow fromair-moving member 4103. In an example, when low oxygen saturation is dueto obstruction of a person's airway by soft tissue, then increasedairway pressure from air-moving member 4103 can help to reopen theperson's airway.

In this example, oxygen saturation sensor 4102 is worn on a person's earand air-moving member 4103 is part of respiratory mask 4104. In anexample, oxygen saturation sensor 4102 and air-moving member 4103 can beco-located as parts of a respiratory mask. In an example, an oxygensaturation sensor can be incorporated into a different type of wearabledevice or an article of clothing. In this example, air-moving member4103 is an impellor or fan that draws ambient air into respiratory mask4104. In this example, an increase in the rotational speed of air-movingmember 4103 increases the pressure of air in the respiratory mask, whichcan help to provide positive airway pressure to address an episode ofobstructive sleep apnea.

The left side of FIG. 41 shows air-moving member rotating at a firstspeed in response to a first level of oxygen saturation measured byoxygen saturation sensor 4102. The right side of FIG. 41 showsair-moving member rotating at a second speed in response to a secondlevel of oxygen saturation measured by oxygen saturation sensor 4102. Inthis example, the second speed is faster than the first speed. In thisexample, the faster speed is triggered by a lower level of oxygensaturation. In an example, when this device detects an undesirably-lowlevel of oxygen saturation, then this device triggers an increase in therotational speed of air-moving member 4105 to increase airflow throughthe person's lungs and restore oxygen saturation to a healthy level. Inan example, this device can comprise a positive airway pressure maskthat provides additional airflow and/or airway pressure when needed tomaintain a proper blood oxygen level.

In an example, a wearable oxygen saturation sensor and/or monitor cancollect data concerning a person's oxygen saturation and/or blood oxygenlevel. In example, this data can be used to: change the direction, flowrate, pressure, humidity, temperature, mixture, and/or source of the airor other gas which a person breathes; change the rate of the flow of airand/or other gas in communication with the surface of the person's body;change the rate of the flow of air and/or other gas which the personbreathes; change a laminar flow of air and/or other gas in communicationwith the surface of the person's body; change the laminar flow of airand/or other gas which the person breathes; change the rate of the flowof air from a central heating, ventilation, and/or air-conditioning(HVAC) system; or change the rate of the flow of air from a window-basedair conditioner.

FIG. 42 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'soxygen saturation; a sleep-environment-modifying component whichcontrols the operation of a central heating, ventilation, and/orair-conditioning (HVAC) system; and a data-control component whichcontrols the operation of the sleep-environment-modifying component inorder to automatically change the person's sleep environment based ondata from the wearable-sensor component.

More specifically, the example shown in FIG. 42 comprises: wearableoxygen saturation sensor 4202; central heating, ventilation, and/orair-conditioning (HVAC) system control unit 4203; and outflow vent 4204from the HVAC system. In this example, data from wearable oxygensaturation sensor 4202 is used by HVAC system control unit to change theoperation of the HVAC system and/or outflow vent 4204. In this example,data from oxygen saturation sensor 4202 is used by HVAC system controlunit 4203 to change the temperature of airflow from the HVAC systemcoming out from vent 4204.

The left side of FIG. 42 shows a first situation in which HVAC systemcontrol unit 4203 responds to data from wearable oxygen saturationsensor 4202 by setting a high temperature for airflow from the HVACsystem coming out from vent 4204. This is represented by the “sun”symbol above vent 4204 on the left side of FIG. 42. The right side ofFIG. 42 shows a second situation in which HVAC system control unit 4203responds to data from wearable oxygen saturation sensor 4202 by settinga low temperature for airflow from the HVAC system coming out from vent4204. In another example, data from oxygen saturation can be used tochange the direction, rate, or volume of airflow from the HVAC systemcoming out from vent 4204. In another example, a data-control componentwhich controls the operation of a central HVAC system can beincorporated into a wearable device or smart phone rather than awall-mounted control unit.

As shown in FIG. 43, this invention can be embodied in a system, device,and method that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'soxygen saturation; a sleep-environment-modifying component which changesthe mixture of air and/or other gas from multiple sources which theperson breathes; and a data-control component which controls theoperation of the sleep-environment-modifying component in order toautomatically change the person's sleep environment based on data fromthe wearable-sensor component.

More specifically, the embodiment shown in FIG. 43 comprises: wearableoxygen saturation sensor 4302; gas flow tube 4304; respiratory mask4305; and data-control component 4303. In this example, the flow ofbreathable gas through gas flow tube 4304 is changed by data-controlcomponent 4303 based on data from wearable oxygen saturation sensor4302. In an example, gas flow tube 4304 is connected to a source ofoxygen-rich gas. In an example, the flow of an oxygen-rich gas throughgas flow tube 4304 can be automatically increased by data-controlcomponent 4303 when data from wearable saturation oxygen saturationsensor indicates that person 4301 has a low oxygen saturation level.

In an example, the mixture or proportions of a flow of oxygen-rich gasthrough gas flow tube 4304 vs. ambient airflow 4306 which is breathed byperson 4301 through respiratory mask 4305 can be automatically adjustedbased on data from wearable oxygen saturation sensor 4302. The left sideof FIG. 43 shows a first flow of breathable gas through gas tube 4304based on a first pattern of data from wearable oxygen saturation sensor4302 and the right side of FIG. 43 shows a second flow of breathable gasthrough gas flow tube 4304 based on a second pattern of data fromwearable oxygen saturation sensor 4302. In this example, the second flowis greater than the first flow, as symbolically represented by a largerdotted-line arrow along gas flow tube 4304.

In various examples, data from wearable oxygen saturation sensor 4302can be used to change and/or control the rate, volume, mixture,temperature, or moisture level of breathable gas flowing through gasflow tube 4304, airflow 4306 drawn from ambient air; or both. In thisexample, oxygen saturation sensor 4302 is an optical sensor thatmeasures parameters concerning light reflected from, transmittedthrough, or absorbed by a person's body tissue. In other examples,oxygen saturation sensor can measure electromagnetic energy or sonicenergy. In this example, oxygen saturation sensor 4302 is worn on aperson's earlobe. In other examples, oxygen saturation sensor can beworn on a person's finger or elsewhere on a person's body. In anexample, data from a wearable oxygen saturation sensor can be used to:change the mixture of air and/or other gas from multiple sources which aperson breathes; change the mixture or composition of air and/or othergas which a person breathes; change the proportion of ambient air versusnon-ambient air or other gas which a person breathes; and/or change thesource of air and/or other gas which a person breathes.

FIG. 44 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'soxygen saturation; a sleep-environment-modifying component which changesthe porosity of a bedding surface or layer on which the person lies; anda data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 44 comprises an oxygensaturation sensor 4402 and an adjustable-porosity mattress 4403. In thisexample, the porosity of mattress 4403 is adjusted based on data fromoxygen saturation sensor 4402. In an example, when data from oxygensaturation sensor 4402 indicates a low level of oxygen saturation, thenthis device increases the porosity of mattress 4403. In an example, thisembodiment of the device may help to prevent a person, such as aninfant, from suffocating while sleeping in the event that they turn facedown toward the mattress or become completely covered with a blanket. Inan example, this device may help to avoid Sudden Infant Death (SID).

In an example, mattress 4403 can further comprise piezoelectric membersand the porosity of mattress 4403 can be adjusted by application ofelectromagnetic energy to these piezoelectric members based on data fromoxygen saturation sensor 4402. In an example, mattress 4403 can furthercomprise an array of actuators and the porosity of mattress 4403 can beadjusted by operating this array of actuators based on data from oxygensaturation sensor 4402. In an example, mattress 4403 can furthercomprise an array of inflatable members and the porosity of mattress4403 can be adjusted by inflation or deflation of these inflatablemembers based on data from oxygen saturation sensor 4402. In an example,mattress 4403 can further comprise an array of micro-impellors whichincrease airflow through the mattress based on data from oxygensaturation sensor 4402. In an example, data from a wearable oxygensaturation sensor can change the porosity of a sheet, blanket, or otherbedding layer over a person.

FIG. 45 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'soxygen saturation; a sleep-environment-modifying component which changesthe porosity of a blanket or other bedding layer covering the person;and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

Specifically, the embodiment shown in FIG. 45 comprises oxygensaturation sensor 4502 and adjustable-porosity blanket 4503. In thisexample, the porosity of blanket 4503 is adjusted based on data fromoxygen saturation sensor 4502. In an example, when oxygen sensor 4502indicates that person 4501 has a low oxygen saturation level, thenporosity control mechanism 4504 increases the porosity of blanket 4503.In an example, increasing the porosity of a bed covering can help toreduce the chances of suffocation, especially if person 4501 is aninfant or immobile person. In an example, blanket 4503 can furthercomprise piezoelectric fabric whose porosity can be changed byapplication of electromagnetic energy. In an example, blanket 4503 canfurther comprise an array of micro-actuators whose activation changesthe porosity of blanket 4503. In an example, blanket 4503 can furthercomprise an array of inflatable members whose selective inflation ordeflation changes the porosity of blanket 4503.

The left side of FIG. 45 shows adjustable-porosity blanket 4503 with afirst porosity level based on a first pattern of data from oxygensaturation sensor 4502. The right side of FIG. 45 showsadjustable-porosity blanket 4503 with a second porosity level based on asecond pattern of data from oxygen saturation sensor 4502. In thisexample, the second porosity level is greater than the first porositylevel, as symbolically represented by a larger checkerboard pattern onthe right side of FIG. 45. In this example, the porosities of the twosides of blanket 4503 are individually adjustable. In another example,the porosity of a blanket with uniform porosity can be adjusted based ondata from an oxygen saturation sensor.

In this example, an oxygen saturation sensor is worn on a person'searlobe. In other examples, an oxygen saturation sensor can be worn onother portions of a person's body. In this example, oxygen saturationsensor analyzes the spectrum of light passing through body tissue. Inother examples, an oxygen saturation sensor can analyze the spectrum oflight reflected from body tissue. In various examples, an oxygensaturation sensor can measure light energy, electromagnetic energy, orsonic energy. In an example, data from an oxygen saturation sensor canbe used to automatically change the gaseous porosity of a blanket,sheet, quilt, or other bedding layer covering a person.

As shown in FIG. 46, this invention can be embodied in a system, device,and method that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'soxygen saturation; a sleep-environment-modifying component which changesthe pressure of air and/or other gas which the person breathes; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 46 comprises oxygensaturation sensor 4602; gas flow tube 4604; respiratory mask 4605; anddata-control component 4603. In this example, the pressure of airflowthrough gas flow tube 4604 is controlled by data-control component 4603based on data from oxygen sensor 4602. In an example, when data fromoxygen saturation sensor 4602 indicates that person 4601 has a lowoxygen saturation level, then this triggers an increase in the pressureof airflow through gas flow tube 4604. In an example, when low oxygensaturation is caused by obstruction of the person's airway by softtissue, then increased airflow pressure through gas flow tube 4604 canopen the airway and increase oxygen saturation.

In this example, oxygen saturation sensor 4602 measures light energypassing through tissue of a person's body. In an example, oxygensaturation sensor 4602 can be an optical sensor. In an example, oxygensaturation sensor 4602 can collect data concerning the intensity and/orspectrum of light energy passing through, or reflected from, bodytissue. In an example, oxygen saturation sensor 4602 can be aspectroscopic sensor. In an example, data concerning light energy thatis collected by oxygen saturation sensor 4602 can be analyzed usingspectroscopy. In other examples, an oxygen saturation sensor can be abiochemical sensor, electromagnetic energy sensor, or sonic energysensor. In this example, oxygen saturation sensor 4602 is worn on aperson's earlobe. In other examples, an oxygen saturation sensor can beworn on a person's nose or finger, incorporated into a respiratory mask,incorporated into a garment, or incorporated into another type ofwearable device.

The left side of FIG. 46 shows a flow of breathable gas at a firstpressure level moving through gas flow tube 4604 into respiratory mask4605 based on a first level of oxygen saturation. The right side of FIG.46 shows a flow of breathable gas at a second pressure level movingthrough gas flow tube 4604 into respiratory mask 4605 based on a secondlevel of oxygen saturation. In this example, the second pressure levelis greater than the first pressure level. In an example, the secondpressure level can provide elevated airway pressure in order to pushsoft tissue and open up a person's airway in the event of an episode ofobstructive sleep apnea. In an example, the flow of breathable gasthrough gas tube 4605 can be drawn from ambient air. In an example, theflow of breathable gas through gas tube 4605 can come from a mixture ofa non-ambient gas source and ambient air. In an example, data from awearable oxygen saturation sensor can be used to change the direction,flow rate, pressure, humidity, temperature, mixture, and/or source ofthe air or other gas which a person breathes.

FIG. 47 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'soxygen saturation; a sleep-environment-modifying component which emitssound; and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 47 comprises a wearableoxygen saturation monitor 4701 that emits sound when it detects a lowlevel of oxygen saturation. In this example, this oxygen saturationsensor is worn on a person's earlobe. In other examples, an oxygensaturation sensor can be worn on a location selected from the groupconsisting of: nose, finger, wrist, neck, ankle, and tongue. In anotherexample, an oxygen saturation monitor can be incorporated into anarticle of clothing that a person wears to bed. In an example, data froma wearable oxygen saturation monitor can be wirelessly transmitted to aseparate electronic device which, in turn, emits an alarm if the oxygensaturation level becomes too low. In an example, data from a wearableoxygen saturation monitor can be wirelessly transmitted to a separateelectronic communications device which sends a phone call, text, email,or other electronic communication if the oxygen saturation level becomestoo low.

In an example, a wearable oxygen saturation monitor can measure lightenergy. In an example, a wearable oxygen saturation monitor can measurethe intensity or spectrum of light that passes through body tissue. Inan example, a wearable oxygen saturation monitor can measure theintensity or spectrum of light that is reflected off the surface of bodytissue. In an example, a wearable oxygen saturation monitor can measureelectromagnetic energy. In an example, a wearable oxygen saturationmonitor can measure sonic energy. In an example, a wearable oxygenmonitor can be a biochemical monitor.

FIG. 48 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'spulse, heart rate, and/or other cardiac function; asleep-environment-modifying component which emits sound; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 48 comprises a wearablecardiac function monitor 4802 which emits sound when a selected patternof cardiac activity is detected. In an example, a wearable cardiacfunction monitor can measure a person's pulse, heart rate,electrocardiographic signals, or other parameters concerning a person'scardiac function. In an example, a wearable cardiac function monitor canbe a wearable ECG monitor. In an example, a cardiac function monitor cansound an alarm if data concerning cardiac function indicates an adverseevent or condition. In an example, a cardiac function monitor canwirelessly transmit data to a separate electronic device, such as asmart phone, which can sound an alarm if data concerning cardiacfunction indicates an adverse event or condition. In an example, awearable cardiac function monitor can send a communication if it detectsan adverse event or condition. In an example, a wearable cardiacfunction monitor can be in wireless communication with a separateelectronic device which can sound an alarm or send a communication if anadverse event or condition is detected.

In an example, a wearable cardiac function monitor can measureelectromagnetic energy transmitted through a person's body tissue. In anexample, data from a wearable cardiac function monitor can be analyzedusing Fourier Transformation methods to identify significant repeatingpatterns of electromagnetic activity. In an example, a wearable cardiacfunction monitor can measure light energy transmitted through (orreflected from) a person's body tissue. In an example, data from awearable cardiac function monitor can be analyzed using spectroscopy. Inan example, a wearable cardiac function monitor can measure levelsand/or changes of pressure and/or force at points of contact with one ormore body surfaces or tissues. In an example, a wearable cardiacfunction monitor can measure sonic energy transmitted through (orreflected from) a person's body tissue. In an example this sonic energycan be ultrasonic. In an example, a wearable cardiac function monitorcan be worn on a person's chest or torso. In an example, a wearablecardiac function monitor can be worn on a person's finger, wrist, hand,or arm. In an example, a wearable cardiac function monitor can be wornon a person's ear or nose. In an example, a wearable cardiac functionmonitor can be incorporated into an article of clothing that a personwears to bed.

FIG. 49 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'spulse, heart rate, and/or other cardiac function; asleep-environment-modifying component which changes the temperature ofthe air, mattress, blanket, or other bedding material near the person'sbody; and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 49 comprises: wearablecardiac function monitor 4902; and adjustable-temperature blanket 4903.In an example, this device adjusts the temperature of blanket 4903 whena selected pattern is detected in cardiac function data collected fromwearable cardiac function monitor 4902. In an example, data fromwearable cardiac function monitor 4902 can predict the pendingoccurrence of a hot flash and this can trigger a decrease in thetemperature of blanket 4903. In an example, the effects of a hot flashcan be mitigated or even avoided by prophylactic reduction in thetemperature of a person's sleeping environment. In an example, data fromwearable cardiac function monitor 4902 can indicate an adverse event orcondition. In an example, the temperature of adjustable-temperatureblanket 4903 can be changed based on detection of such an adverse eventor condition. In an example, outcomes from an adverse cardiac event canbe improved by a responsive decrease in a person's body temperature. Inan alternative example, outcomes from an adverse cardiac event can beimproved by a responsive increase in a person's body temperature.

In this example, the temperature of blanket 4903 is adjusted by havingthermal exchange pump 4904 pump a warm or cool gas or fluid through flowconduits 4905 into circulation through blanket 4903. In an example,there can be sinusoidal tubes or channels within blanket 4903 throughwhich a warming or cooling gas or liquid circulates. In the exampleshown in FIG. 49, the temperature of blanket 4903 is decreased inresponse to a selected pattern of data from wearable cardiac monitor4902. This cooling is symbolically represented by the “snowflake” symbol4906 on the right side of FIG. 49. The left side of FIG. 49 shows thisexample at a first point in time wherein a specific pattern of cardiacactivity is detected based on data collected by wearable cardiac monitor4902. The right side of FIG. 49 shows this example at a second point intime wherein blanket 4903 has been cooled in response to detection ofthis specific pattern of cardiac activity.

In an example, a wearable cardiac function monitor can measure pulseand/or heart rate. In an example, a wearable cardiac function monitorcan measure blood pressure. In an example, a wearable cardiac functionmonitor can measure patterns of electromagnetic activity which originatein the heart. In an example, a wearable cardiac function monitor can bean ECG monitor. In an example, data from a wearable cardiac functionmonitor can be used to: change the temperature of a blanket over aperson; change the temperature of a mattress under a person; or changethe temperature of a mattress pad. In an example, a wearable cardiacfunction monitor can control the operation of an electric blanket toincrease the temperature of a person's sleeping environment in responseto a selected pattern of data from the wearable cardiac functionmonitor. In an example, a wearable cardiac function monitor can controlthe operation of a cooling blanket to decrease the temperature of aperson's sleeping environment in response to a selected pattern of datafrom the wearable cardiac function monitor.

FIG. 50 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'srespiratory functioning; a sleep-environment-modifying component whichsends a communication/alert if sensed parameter is abnormal; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 50 comprises a wearablepulmonary function monitor 5002, with electronic communicationcapability, which sends a communication when it detects an adversepulmonary event or condition. In an example, this communication can besent to a healthcare provider, non-professional caregiver or relative,or a health tracking service. In an example, this communication caninclude information on specific parameters of the adverse pulmonaryevent or condition. In an example, this communication can beinteractive, allowing the recipient to initiate advanced data collectionfrom the device from a remote location.

In an example, a wearable pulmonary function monitor can collect motion,force, and/or pressure data caused by motion of a person's body, such asmotion of a person's chest or torso associated with respiration. In anexample, a wearable pulmonary function monitor can comprise anaccelerometer or other inertial-based motion sensor. In an example, awearable pulmonary function monitor can comprise piezoelectric fiberswhich generate electrical current when stretched or bent by body motion,such as motion of a person's chest or torso associated with respiration.In an example, a wearable pulmonary function monitor can compriseelectro-conductive fibers whose resistance and/or impedance toelectrical current changes when these fibers are stretched or bent bybody motion, such as motion of a person's chest or torso associated withrespiration.

In an example, a wearable pulmonary monitor can comprise pressuresensors, force sensors, or motion sensors which are in direct contactwith the surface of a person's chest or torso. In an example, a wearablepulmonary monitor can comprise pressure sensors, force sensors, ormotion sensors which are in gaseous or fluid communication with one ormore pressurized channels, tubes, pockets, pouches, or compartmentswhich span a portion of a person's chest or torso.

In an example, a wearable pulmonary function monitor can collect dataconcerning electromagnetic energy originating from a person's lungs orthe muscles associated with a person's lungs. In an example, a wearablepulmonary function monitor can be an EMG monitor. In an example, awearable pulmonary function monitor can measure the volume or speed ofairflow into or out of a person's airway during respiratory cycles. Inan example, a wearable pulmonary function monitor can collect sonic dataconcerning a person's respiratory function. In an example, a wearablepulmonary function monitor can comprise a wearable microphone. In anexample, a wearable pulmonary function monitor can record sounds from aperson's chest and/or torso. In an example, a wearable pulmonaryfunction monitor can record sounds from a person's mouth and/or nose.

The left side of FIG. 50 shows this embodiment at a first point in timewherein pulmonary function monitor 5002 is collecting data concerningthe pulmonary functioning of person 5001. The right side of FIG. 50shows this embodiment at a second point in time wherein the pulmonaryfunction monitor has initiated a communication to a health care providerbased on a selected pattern of data measured by pulmonary functionmonitor 5002. In an example, a wearable pulmonary function monitor cantrigger a communication/alert if it detects an abnormal respiratoryevent or condition.

FIG. 51 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'srespiratory functioning; a sleep-environment-modifying component whichchanges the filtration of air through a central heating, ventilation,and/or air-conditioning (HVAC) system; and a data-control componentwhich controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the person's sleepenvironment based on data from the wearable-sensor component.

More specifically, the embodiment shown in FIG. 51 comprises a wearablepulmonary function sensor 5102 and a central heating, ventilation,and/or air-conditioning (HVAC) system control unit 5103. In thisexample, HVAC system control unit 5103 changes the operation of an HVACsystem based on data from wearable pulmonary function sensor 5102 wornby person 5101. In various examples, the one or more aspects of theoperation of a central HVAC system which are changed based on data froma wearable pulmonary function sensor can be selected from the groupconsisting of: degree of airflow filtration; airflow temperature;airflow moisture; airflow volume; inter-room airflow distribution;airflow direction; and mixture of fresh vs. re-circulated airflow.

In this example, data from pulmonary function sensor 5102 triggers achange in the degree of air filtration performed by the HVAC system. Theleft side of FIG. 51 shows this embodiment at a first point in timewherein data collected by pulmonary function sensor 5102 matches aselected data pattern. The right side of FIG. 51 shows this embodimentat a second point in time wherein air filtration by the central HVACsystem has been increased by HVAC system control unit 5103 in responseto detection of the selected data pattern. In an example, when wearablepulmonary function sensor 5102 detects sounds of respiratory congestion,then this can trigger a higher level of airflow filtration by a centralHVAC system. In FIG. 51, a higher level of airflow filtration (from theleft side to the right side of the figure) is symbolically-representedby a reduction in the “pollen symbols” floating above vent 5104. In anexample, it may be cumbersome, expensive, unhealthy, or infeasible toconstantly run an HVAC system at maximum air filtration. In an example,constant use of a special filter can quickly clog the filter, butselected use of a special filter can help it to be effective for alonger period of time. In an example, this system, device, and methodcan increase air filtration when it is most needed to reduce respiratorycongestion.

FIG. 52 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'srespiratory functioning; a sleep-environment-modifying component whichchanges the rate of the flow of air from a central heating, ventilation,and/or air-conditioning (HVAC) system; and a data-control componentwhich controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the person's sleepenvironment based on data from the wearable-sensor component.

More specifically, the embodiment shown in FIG. 52 comprises: wearablepulmonary function sensor 5202 worn by person 5201; and central heating,ventilation, and/or air-conditioning (HVAC) system control unit 5203. Inthis example, one or more aspects of the operation of the HVAC systemare changed by HVAC system control unit 5203 based on data from wearablepulmonary function sensor 5202. In various examples, these one or moreaspects of HVAC system operation can be selected from the groupconsisting of: airflow volume; airflow temperature; airflow moisturelevel; airflow filtration; airflow temperature; inter-room airflowdistribution; mixture of outside vs. inside air sources; and airflowspeed. In the example shown in FIG. 52, the volume of airflow from theHVAC system is changed based on data from wearable pulmonary functionsensor 5202.

The left side of FIG. 52 shows a first volume of airflow from vent 5204coming from an HVAC system based on a first pattern of data collectedfrom wearable pulmonary function sensor 5202. The right side of FIG. 52shows a second volume of airflow from vent 5204 coming from an HVACsystem based on a second pattern of data collected from wearablepulmonary function sensor 5202. In this example, the second volume isgreater than the first volume, as symbolically represented by longer andthicker dotted-line arrows arising from vent 5204 on the right side ofFIG. 52 vs. the left side.

In an example, a wearable pulmonary function sensor can be selected fromthe group consisting of: wearable accelerometer, gyroscope, or otherinertial-based motion sensor; a garment, strap, band, or other wearableaccessory comprising piezoelectric members which generate electricalcurrent when stretched or bent; a garment, strap, band, or otherwearable accessory comprising electroconductive members whose resistanceor impedance to electrical current changes when they are stretched orbent; a microphone or other sonic energy sensor; an EMG sensor or otherelectromagnetic energy sensor; and a spectroscopic sensor or otheroptical sensor. In an example, the operation of an HVAC system can becontrolled directly by a component in a wearable device. In an example,data from a wearable pulmonary function sensor can be used to change thevolume, rate, direction or inter-room distribution of a flow of air froman HVAC system.

FIG. 53 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'srespiratory functioning; a sleep-environment-modifying component whichchanges the proportion of ambient air versus non-ambient air or othergas which the person breathes; and a data-control component whichcontrols the operation of the sleep-environment-modifying component inorder to automatically change the person's sleep environment based ondata from the wearable-sensor component.

More specifically, the embodiment shown in FIG. 53 comprises: pulmonaryfunction sensor 5302; gas flow tube 5304; respiratory mask 5305; anddata-control component 5303. In this example, the flow of breathable gasthrough gas flow tube 5304 into respiratory mask 5305 is controlled bydata-control component 5303 based on data from pulmonary function sensor5302. In an example, this embodiment can increase the flow of breathablegas through gas flow tube 5304 when data from pulmonary function sensor5302 indicates that person 5301 is experiencing an adverse respiratoryevent. In an example, the breathable gas that flows through gas flowtube 5304 can be oxygen rich. In an example, this embodiment can changethe relative mixture or proportions of oxygen rich gas vs. ambientairflow 5306 which is breathed by person 5301 through respiratory mask5305 based on data from pulmonary function sensor 5302.

The left side of FIG. 53 shows this embodiment at a first point in timewherein there is a first volume of gas flow through gas flow tube 5304based on a first pattern of data from pulmonary function sensor 5302.The right side of FIG. 53 shows this embodiment at a second point intime wherein there is a second volume of gas flow through gas flow tube5304 based on a second pattern of data from pulmonary function sensor5302. In an example, the second volume of gas flow is greater than thefirst volume of gas flow. In an example, the first pattern of dataindicates normal pulmonary function and the second pattern of dataindicates inadequate or impaired pulmonary function. In an example, ahigher volume of oxygen-rich gas flow can help to maintain proper bloodoxygenation during an episode of inadequate or impaired respiratoryfunction.

In an example, a wearable pulmonary function sensor can be selected fromthe group consisting of: wearable accelerometer, gyroscope, or otherinertial-based motion sensor; a garment, strap, band, or other wearableaccessory comprising piezoelectric members which generate electricalcurrent when stretched or bent; a garment, strap, band, or otherwearable accessory comprising electroconductive members whose resistanceor impedance to electrical current changes when they are stretched orbent; a microphone or other sonic energy sensor; an EMG sensor or otherelectromagnetic energy sensor; and a spectroscopic sensor or otheroptical sensor. In an example, the operation of an HVAC system can becontrolled directly by a component in a wearable device. In an exampledata from a wearable pulmonary function sensor can be used to change theproportion of ambient air versus non-ambient air, mixture or compositionof air and/or other gas, or sources of air and/or other gas which theperson breathes.

FIG. 54 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'srespiratory functioning; a sleep-environment-modifying component whichchanges the porosity of a bedding surface or layer on which the personlies; and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 54 comprises: wearablepulmonary function monitor 5402 worn by person 5401; andadjustable-porosity mattress 5403. In this example, the porosity ofmattress 5403 is changed automatically based on data from wearablepulmonary monitor 5402. In an example, a pulmonary function monitor canbe selected from the group consisting of: a microphone which measuressounds related to a person's respiration; an accelerometer or otherinertial-based motion sensor which measures body motion related to aperson's respiration; a piezoelectric member which generates electricalcurrent based on body motion related to a person's respiration;electroconductive fabric or textile whose resistance or impedance toelectrical current is changes by body motion related to a person'srespiration; and an optical sensor which measures light energytransmitted through or reflected from a body surface wherein theintensity or spectrum of this light energy is affected by a person'spulmonary function.

In an example, the porosity of mattress 5403 can be changed byapplication of electrical current to piezoelectric fibers, strands, orstructures which are incorporated into the mattress. In an example,mattress 5403 can further comprise an array of actuators whoseactivation changes the porosity of mattress 5403. In an example,mattress 5403 can further comprise an array of inflatable members whoseinflation or deflation changes the porosity of mattress 5403.

The example of this invention which is shown in FIG. 55 is similar tothe one shown in FIG. 54, except the porosity of a blanket is changed inresponse to data from a pulmonary function monitor instead of theporosity of a mattress. FIG. 55 shows how this invention can be embodiedin a system, device, and method using wearable technology to collectdata for automatic modification of a person's sleep environmentcomprising: a wearable-sensor component worn by a person, wherein thissensor component collects data concerning the person's respiratoryfunctioning; a sleep-environment-modifying component which changes theporosity of a blanket or other bedding layer covering the person; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 55 comprises: wearablepulmonary function monitor 5502 worn by person 5501; andadjustable-porosity blanket 5503. This embodiment further comprisesblanket control unit 5504. In this example, the gaseous porosity ofblanket 5503 is changed in response to changes in data collected bywearable pulmonary function monitor 5502. In an example, if pulmonaryfunction monitor 5502 indicates respiratory distress, then this devicecan increase the porosity of blanket 5503. In an example, the porosityof blanket 5503 can be changed by a means selected from the groupconsisting of: application or adjustment of electrical current topiezoelectric fibers or strands incorporated into the blanket;activation of an array of microscale actuators incorporated into theblanket; inflation or deflation of an array of inflatable membersincorporated into the blanket. In an example, pulmonary function monitor5502 can monitor pulmonary function by a means selected from the groupconsisting of: measuring sounds related to respiration; measuring bodymotion related to respiration; measuring patterns of electromagneticenergy related to respiration; and measuring light transmitted throughor reflected from body tissue related to respiration.

In an example, data collected by a wearable pulmonary function orrespiratory function monitor can be used to change the porosity of ablanket, sheet, or other bedding layer covering a person while theysleep. In an example, data collected by a wearable pulmonary function orrespiratory function monitor can be used to control an array of MEMSactuators which, in turn, change the porosity of a blanket, sheet, orother bedding layer covering a person while they sleep.

FIG. 56 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'srespiratory functioning; a sleep-environment-modifying component whichchanges the pressure of air and/or other gas which the person breathes;and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 56 comprises: wearablepulmonary function monitor 5602; gas inflow tube 5604; respiratory mask5605; and data-control component 5603. In this example, the flow ofbreathable gas through gas inflow tube 5604 is automatically changedbased on changes in data from wearable pulmonary function monitor 5602.In an example, the gas which flows through gas inflow tube 5604 intomask 5605 is richer in oxygen than ambient air. In an example, when datafrom wearable pulmonary function monitor 5602 indicates that person 5601is probably experiencing respiratory distress and/or insufficientoxygenation, then this embodiment increases the flow of oxygen-richbreathable gas through gas inflow tube 5604.

The left side of FIG. 56 shows this embodiment at a first point in timewherein there is a first volume of gas flowing through gas inflow tube5604 based on a first pattern of data collected by wearable pulmonaryfunction monitor 5602. The right side of FIG. 56 shows this embodimentat a second point in time wherein there is a second volume of gasflowing through gas inflow tube 5604 based on a second pattern of datacollected by wearable pulmonary function monitor 5602. In this example,the second volume is greater than the first volume, as symbolicallyrepresented by a thicker dotted-line arrow near gas inflow tube 5604 onthe right side of FIG. 56 than on the left side of FIG. 56. In anexample, the second pattern of data collected by wearable pulmonaryfunction monitor 5602 can indicate an adverse respiratory event,episode, or condition.

In an example, a pulmonary function monitor can collect data concerninga person's pulmonary function by recording sounds related to theperson's respiration. In an example, a pulmonary function monitor cancollect data concerning a person's pulmonary function by measuringelectromagnetic energy emitted from muscles or nerves related to theperson's respiration. In an example, a pulmonary function monitor cancollect data concerning a person's pulmonary function by measuringmotion of one or more portions of the person's body related to theperson's respiration. In an example, body motion related to respirationcan be measured by an accelerometer, gyroscope, or inclinometer. In anexample, body motion related to respiration can be measure bypiezoelectric and/or electro-conductive fibers, threads, yarns, orstrands incorporated into an article of clothing or accessory which aperson wears while sleeping. In an example, movement of a person's lungschanges the shape of piezoelectric and/or electro-conductive fibers,threads, yarns, or strands which changes the flow of electrical currentfrom or through these fibers, threads, yarns, or strands.

In an example, the volume, rate, composition, temperature, moisturelevel, pressure level, filtration level, and/or source of breathable gasentering respiratory mask 5605 can be automatically changed based ondata collected by a wearable pulmonary function monitor. In an example,data collected by a wearable pulmonary function sensor or respiratoryfunction monitor can be analyzed to identify the occurrence of anadverse respiratory event, episode, or condition. In an example, anadverse respiratory event, episode, or condition by person 5601 canautomatically trigger a change in the volume, rate, composition,temperature, moisture level, pressure level, filtration level, and/orsource of gas breathed by person 5601 in order to help correct theadverse respiratory event, episode, or condition. In an example, thisanalysis can occur in data-control component 5603. In another example,this analysis can occur in a remote location or within a data processorwhich is part of the wearable pulmonary function monitor.

FIG. 57 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person'srespiratory functioning; a sleep-environment-modifying component whichemits sound; and a data-control component which controls the operationof the sleep-environment-modifying component in order to automaticallychange the person's sleep environment based on data from thewearable-sensor component.

More specifically, the embodiment shown in FIG. 57 comprises a wearablepulmonary function monitor 5702 which emits sounds when it detects anadverse respiratory event. In an example, pulmonary function monitor5702 can collect data concerning a person's pulmonary function byrecording sounds related to the person's respiration. In an example,pulmonary function monitor 5702 can collect data concerning a person'spulmonary function by measuring electromagnetic energy emitted frommuscles or nerves related to the person's respiration. In an example,pulmonary function monitor 5702 can collect data concerning a person'spulmonary function by measuring motion of one or more portions of theperson's body related to the person's respiration. In an example, bodymotion related to respiration can be measured by an accelerometer,gyroscope, or inclinometer. In an example, body motion related torespiration can be measure by piezoelectric and/or electro-conductivefibers, threads, yarns, or strands incorporated into an article ofclothing or accessory which a person wears while sleeping. In anexample, movement of a person's lungs changes the shape of piezoelectricand/or electro-conductive fibers, threads, yarns, or strands whichchanges the flow of electrical current from or through these fibers,threads, yarns, or strands.

FIG. 58 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning snoring; asleep-environment-modifying component which controls the operation of alaminar airflow between a second person and the person; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 58 comprises: a snoringsensor 5802; a data-control component 5803; and a laminar airflowmechanism comprising outflow vent 5804 and inflow vent 5805. In thisexample, when data from snoring sensor 5802 indicates that person 5801is snoring, then data this triggers activation of a laminar airflow fromoutflow vent 5804 to inflow vent 5805. In an example, this laminarairflow can reduce the transmission of snoring sounds from person 5801to a bed partner. In an example, this laminar airflow can longitudinallyspan the mid-section of a bed from an outflow vent near the head of thebed to an inflow vent near the foot of the bed. In an example, thislaminar airflow can longitudinally span the top of a bed in asubstantially vertical plane.

In an example, a laminar airflow can be directed to span a snoringperson so as to actually disrupt the airflow patterns which causesnoring. In an example, a laminar airflow passing over a snoringperson's head can interfere with airflow oscillation within the person'sairway which causes snoring sounds. In an example, a pulsating laminarairflow can disrupt oscillation of soft tissue within a person's airwhich causes snoring sounds. In an example, the frequency of airflowpulsation can be matched to the frequency of snoring sound to optimallydisrupt the creation of snoring sounds within a person's airway. In anexample, the direction, pulsation, volume, and/or speed of an airflowproximal to a sleeping person can be automatically adjusted based ondata from a snoring sensor in order disrupt or cancel the creation ofsnoring sounds in the sleeping person's airway. In an example, thedirection, pulsation, volume, and/or speed of a laminar airflow spanninga sleeping person can be automatically adjusted based on data from asnoring sensor in order disrupt or cancel the creation of snoring soundsin the sleeping person's airway.

In an example, snoring sensor 5802 can comprise a microphone or othersound-based sensor. In an example, the frequency, amplitude, and/orwaveform of sound recorded by a microphone or other sound-based sensorcan be analyzed by data-control component 5803 in order to identifysnoring by person 5801. In an example, data from a snoring sensor can beanalyzed in a separate electronic device such as a smart phone orelectronic tablet with which the snoring sensor is in wirelesscommunication. In this example, sound sensor 5802 is worn by person 5801as part of a wrist band. In other examples, a sound sensor can be wornon a person's neck, ear, nose, head, torso, finger, hand, arm, or neck.In an example, a snoring sensor can be incorporated into an article ofclothing. In an example, a snoring sensor can be incorporated into theheadboard of a bed, a pillow, a blanket, or another part of a bedstructure or bedding.

In an example, the volume or speed of airflow through a laminar airflowmechanism can be controlled by the volume or duration of snoring. In anexample, the volume or speed of laminar airflow can be increased whenthe volume or duration of snoring increases. The left side of FIG. 58shows this embodiment at a first point in time wherein a centrallongitudinal laminar airflow mechanism is not activated because datafrom snoring sensor 5802 indicates that person 5801 is not snoring. Theright side of FIG. 58 shows this embodiment at a second point in timewherein a central longitudinal laminar airflow mechanism is activated inresponse to data from snoring sensor 5802 which indicates that person5801 is snoring. In this figure, laminar airflow is symbolicallyrepresented by an array of parallel sinusoidal dotted-lines from outflowvent 5804 to inflow vent 5805. In this figure, the person's snoring issymbolically represented by a series of ascending “Z's” over theperson's head.

In an example, data from a wearable snoring sensor can be used to:change the operation of a central longitudinal laminar airflow on a bed;change the laminar flow of air and/or other gas in communication withthe surface of the person's body; change the laminar flow of air and/orother gas which the person breathes; or change the spatial configurationof the flow of air and/or other gas which the person breathes. In anexample, laminar airflow proximal to a snoring person can disrupt thetransmission of snoring sound to a bed partner and/or disrupt theoscillation of soft tissue in the person's airway which creates snoringsound.

The embodiment of this invention which is shown in FIG. 59 is similar tothe one shown in FIG. 58, except that a laminar airflow spans a personin a plane which is substantially horizontal. More generally, FIG. 59shows an example of how this invention can be embodied in a system,device, and method that uses wearable technology to collect data forautomatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning snoring; asleep-environment-modifying component which changes the direction, flowrate, pressure, humidity, temperature, mixture, and/or source of the airor other gas which the person breathes; and a data-control componentwhich controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the person's sleepenvironment based on data from the wearable-sensor component.

The embodiment of this invention that is shown in FIG. 59 comprises: asnoring sensor 5902; a data-control component 5903; and a laminarairflow mechanism which further comprises outflow vent 5904 and inflowvent 5905. In this example, a bed is equipped with two laminar flowmechanisms, one for each side of the bed, and these two laminar flowmechanisms can be separately controlled. In this example, data from asnoring sensor is used to change the direction, flow rate, pulsationfrequency, or spatial configuration of one or more laminar airflowsspanning a bed. In an example, when data from a snoring sensor indicatesthat a person is snoring, then the device activates a laminar airflowproximal to the person which disrupts the creation of snoring within theperson's airway and/or disrupts the transmission of sonic energy fromthe snoring person to a bed partner.

In this example, a laminar airflow spans a bed in a substantiallyhorizontal plane from the head of the bed to the foot of the bed. Inanother example, a laminar airflow can span a bed in a diagonal mannerfrom the head of a bed to a side of the bed. In an example, a laminarairflow can span a bed from one side of the bed to the other side of thebed. In an example, a laminar airflow triggered by a snoring person canspan a bed from the side with a bed partner to the side with the snoringperson, so as to reduce transmission of sonic energy from the snoringperson to the bed partner.

In an example, a snoring sensor can comprise a microphone or other soundsensor. In an example, a snoring sensor can be worn on a person's wrist,ear, neck, head, or torso. In an example, a snoring sensor can beincorporated into a bed headboard. In an example, a snoring sensor canbe incorporated into a pillow or blanket. In an example, a snoringsensor can be incorporated into a respiratory mask. In an example, datafrom a snoring sensor can be used to: change the rate of the flow of airand/or other gas in communication with the surface of a person's body;change the flow of air and/or other gas in communication with thesurface of a person's body; or change the rate of the flow of air and/orother gas which a person breathes.

FIG. 60 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning snoring; asleep-environment-modifying component which changes the latitudinalslope or other latitudinal configuration of a bedding surface on whichthe person lies; and a data-control component which controls theoperation of the sleep-environment-modifying component in order toautomatically change the person's sleep environment based on data fromthe wearable-sensor component.

More specifically, the embodiment shown in FIG. 60 comprises: snoringsensor 6002; data-control component 6003; and mattress 6004 with anadjustable lateral configuration. In this example, the lateral slope ofmattress 6004 is automatically changed based on data from snoring sensor6002. In an example, when data from snoring sensor 6002 indicates thatperson 6001 is snoring, then this device automatically adjusts thelateral configuration of the portion of mattress 6004 on which person6001 sleeps so as to change the orientation and/or configuration of theperson's body. In an example, this change in body orientation and/orconfiguration can help to reduce the person's snoring. In an example,this change in body orientation and/or configuration can orient theperson's head away from a bed partner so as to reduce the magnitude ofsnoring sound heard by the bed partner.

In an example, the lateral configuration of mattress 6004 can be changedby differential deflation or inflation of inflatable componentscomprising mattress 6004. In an example, the lateral configuration ofmattress 6004 can be changed by differential activation of one or moreactuators comprising mattress 6004. In an example, data from snoringsensor 6002 can trigger a change in the lateral slope of a portion ofmattress 6004 which causes a snoring person to roll over on their sideand thereby reduce snoring. In an example, data from snoring sensor 6002can trigger a change in the lateral slope of a portion of mattress 6004which causes a snoring person to roll over on their side, facing awayfrom their bed partner, and thereby reduce the impact of snoring ontheir bed partner. In an example, the lateral configuration of mattress6004 can be changed in a non-linear manner, such as creating a convex orconcave sleeping surface to reduce snoring and/or the impact of snoringon a bed partner.

In an example, a snoring sensor can be a microphone or other sound-basedsensor. In an example, a snoring sensor can be worn on a person's wrist,hand, arm, neck, ear, nose, head, or torso. In an example, a snoringsensor can be incorporated into a bed headboard, pillow, blanket,mattress, or other bed structure or layer. In an example, a snoringsensor can be incorporated into a portable electronic device such as asmart phone or electronic tablet. In an example, data from a snoringsensor or snoring monitor can be used to change the shape, orientation,motion, slope, tilt, or configuration of a mattress or other beddingsurface on which a person lies. In an example, data from a snoringsensor or snoring monitor can be used to: control one or more actuatorswhich move a mattress on which a person lies; change the direction ofmovement of a mattress on which a person lies; change the shape of amattress on which a person lies; or change the magnitude of movement ofa mattress on which the person lies.

The left side of FIG. 60 shows this embodiment at a first point in timein which mattress 6004 has a first configuration based on a firstpattern of data from snoring sensor 6002. The right side of FIG. 60shows this embodiment at a second point in time in which mattress 6004has a second configuration based on a second pattern of data fromsnoring sensor 6002. In this example, the first configuration issubstantially flat and the second configuration comprises a downwardlateral slope toward the side of the bed. In this example, the firstpattern of data indicates that person 6001 is not snoring and the secondpattern of data indicates that person 6001 is snoring. In an example,the change in person 6001's orientation or configuration caused by thedownward slope of mattress 6004 will subsequently reduce snoring. In anexample, the change in person 6001's orientation or configuration causedby the downward slope of mattress 6004 reduces the magnitude of snoringsound heard by the person's bed partner.

As shown in FIG. 61, this invention can be embodied in a system, device,and method that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning snoring; asleep-environment-modifying component which changes the longitudinalslope or other longitudinal configuration of a bedding surface on whichthe person lies; and a data-control component which controls theoperation of the sleep-environment-modifying component in order toautomatically change the person's sleep environment based on data fromthe wearable-sensor component.

More specifically, the embodiment shown in FIG. 61 comprises: snoringsensor 6102; data-control component 6103; and mattress 6104 with anadjustable longitudinal configuration. In this example, the longitudinalslope of mattress 6104 is automatically changed based on data fromsnoring sensor 6102. In an example, when data from snoring sensor 6102indicates that person 6101 is snoring, then this device automaticallyadjusts the longitudinal configuration of the portion of mattress 6104on which person 6101 sleeps so as to change the orientation and/orconfiguration of the person's body. In an example, this change in bodyorientation and/or configuration can help to reduce the person'ssnoring. In an example, the longitudinal configuration of mattress 6104can be changed by differential deflation or inflation of inflatablecomponents comprising mattress 6104. In an example, the longitudinalconfiguration of mattress 6104 can be changed by differential activationof one or more actuators comprising mattress 6104. In an example, thelongitudinal configuration of mattress 6104 can be changed in anon-linear manner, such as creating a convex or concave sleepingsurface.

In an example, a snoring sensor can be a microphone or other sound-basedsensor. In an example, a snoring sensor can be worn on a person's wrist,hand, arm, neck, ear, nose, head, or torso. In an example, a snoringsensor can be incorporated into a bed headboard, pillow, blanket,mattress, or other bed structure or layer. In an example, a snoringsensor can be incorporated into a portable electronic device such as asmart phone or electronic tablet. In an example, data from a snoringsensor or snoring monitor can be used to change the shape, orientation,motion, slope, tilt, or configuration of a mattress or other beddingsurface on which a person lies. In an example, data from a snoringsensor or snoring monitor can be used to: control one or more actuatorswhich move a mattress on which a person lies; change the direction ofmovement of a mattress on which a person lies; change the shape of amattress on which a person lies; or change the magnitude of movement ofa mattress on which the person lies.

The left side of FIG. 61 shows this embodiment at a first point in timewherein which mattress 6104 is substantially flat and wherein data fromsnoring sensor 6102 indicates that person 6101 is snoring. The rightside of FIG. 61 shows this embodiment at a second point in time whereinthe longitudinal slope of mattress has been changed in response to theperson's snoring and wherein this change in slope has decreased theperson's snoring. In this example, the changed configuration of mattress6104 is a downward slope from the head of the bed to the foot of thebed. In this example, only the half of the mattress on which person 6101lies has its longitudinal configuration changed based on data fromsnoring sensor 6202. In an example, data from a wearable snoring sensorcan be used to change the longitudinal slope or other longitudinalconfiguration of a mattress, box spring, or other bedding surface onwhich a person lies in order to reduce snoring or the perception ofsnoring by a bed partner.

FIG. 62 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning snoring; asleep-environment-modifying component which starts or stops thevibration or oscillation of a bedding surface on which the person lies;and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 62 comprises: wearablesnoring sensor 6202; data-control component 6203; and moving mattress6204. In an example, when data from snoring sensor 6202 indicates thatperson 6201 is snoring, then this triggers vibration or other movementof the side of mattress 6205 on which person 6201 lies in order todisrupt the person's snoring. The left side of FIG. 62 shows thisembodiment at a first point in time wherein data from wearable snoringsensor 6202 indicates that person 6201 is snoring. The right side ofFIG. 62 shows this embodiment at a second point in time wherein the sideof mattress 6204 on which person 6201 lies is vibrating, wherein thisvibration has reduced the magnitude of the person's snoring.

In an example, a snoring sensor can comprise a microphone. In anexample, a snoring sensor can be configured to be worn on a body partselected from the group consisting of: wrist, hand, arm, neck, ear,nose, head, and torso. In an example, a snoring sensor can beincorporated into a pillow, blanket, mattress, or bed headboard. In anexample, a snoring sensor can be part of a smart phone or other mobileelectronic device. In an example, a moving mattress can vibrate, shake,or move in a larger-scale repeating pattern. In an example, a movingmattress can slowly oscillate from right to left when snoring isdetected. In an example, data from a snoring sensor can be used tochange: the frequency of repeated movements of a mattress or otherbedding surface on which a person lies; or the operation of one or moreactuators which change the frequency of repeated movements of a mattressor other bedding surface on which a person lies.

FIG. 63 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning snoring; asleep-environment-modifying component which changes the pressure of airand/or other gas which the person breathes; and a data-control componentwhich controls the operation of the sleep-environment-modifyingcomponent in order to automatically change the person's sleepenvironment based on data from the wearable-sensor component.

More specifically, the embodiment shown in FIG. 63 comprises: snoringsensor 6302; respiratory mask 6304; and air-moving member 6303. In thisexample, when data from snoring sensor 6302 indicates that person 6301is snoring, then this triggers an increase in the rotation of air-movingmember 6303 which increases the air pressure within mask 6304. In anexample, when data from snoring sensor 6302 indicates that person 6301is snoring, then this can activate air-moving member 6303 to startmoving air which increases air pressure within the mask about thepressure level of ambient air. In an example, elevated air pressure canhelp to open the person's airway and disrupt the person's snoring. Inthis example, air-moving member 6303 is an air impellor or fan. In otherexamples, air-moving member 6303 can be a different type of air pump orair-moving mechanism. In this example, snoring sensor 6302 andair-moving member 6303 are co-located as parts of respiratory mask 6304.In another example, snoring sensor may be located elsewhere and inwireless communication with air-moving member 6303. In an example,snoring sensor 6302 can comprise a microphone.

In an example, data from a wearable snoring sensor can be used to changethe pressure of air and/or other gas which a person breathes. In anexample, this change in pressure can reduce or stop snoring. In anexample, data from a wearable snoring sensor can be used to createpulses in airflow which a person breathes. In an example, these pulsescan reduce or stop snoring. In an example, respiratory mask 6304 cancover a person's nose and mouth. In an example, a respiratory mask cancover only a person's nose. In an alternative example, this inventioncan comprise a snoring sensor, nasal pillows, and an air-moving member.

FIG. 64 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning snoring; asleep-environment-modifying component which emits sound that is oppositein phase to ambient sound; and a data-control component which controlsthe operation of the sleep-environment-modifying component in order toautomatically change the person's sleep environment based on data fromthe wearable-sensor component.

More specifically, the embodiment shown in FIG. 64 comprises: snoringsensor 6402; data-control component 6403; and sound-cancelling mechanism6404. In this example, when data from snoring sensor 6402 indicates thatperson 6401 is snoring, then this triggers the emission of soundpatterns from sound-cancelling mechanism 6404 which cancel out the soundpatterns of snoring. In an example, snoring sensor collects data on thefrequency, magnitude, and waveform of snoring sounds from person 6401.In an example, the sound patterns which are emitted fromsound-cancelling mechanism 6404 are created to be inverse patterns ofsnoring sounds, such these two sounds cancel each other out when theycollide in the air. In an example, the sound-cancelling mechanism canfurther comprise a loud speaker which is incorporated into a bedheadboard. In an example, a sound cancelling mechanism can furthercomprise a loud speaker which is placed on a surface elsewhere in theroom.

The left side of FIG. 64 shows this embodiment in a first configurationwherein data from snoring sensor 6402 indicates that person 6401 issnoring and this snoring sound can be heard by the person's bed partner.The right side of FIG. 64 shows this embodiment in a secondconfiguration wherein sounds emitted from sound-cancelling mechanism6404 collide with, and cancel out, snoring sounds from person 6401before those snoring sounds reach the person's bed partner. In anexample, sonic energy emitted from sound-cancelling mechanism 6404 canbe focused in a specific direction (such as toward person 6401) by meansof a parabolic shaped sound reflector. In an example, data from awearable snoring sensor can be used to trigger an emission of sound thatis opposite in phase to snoring sound.

FIG. 65 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning snoring; asleep-environment-modifying component which emits sound with the samecentral frequency or frequency range as ambient sound; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 65 comprises: a snoringsensor 6502; a data-control component 6503; and a sound-masking member6504. In an example, when data from snoring sensor 6502 indicates thatperson 6501 is snoring, then this triggers a sound-masking sonicemission from member 6504. In an example, the frequency range of asound-masking sonic emission can be based on the frequency range ofsnoring sound detected by snoring sensor 6502. In an example, theamplitude of a sound-masking sonic emission can be based on theamplitude of snoring sound detected by snoring sensor 6502. In anexample, a sound-masking sonic emission can be white noise or pinknoise. In an example a sound-masking sonic emission can reduce theperception of snoring noise by a person's bed partner.

The left side of FIG. 65 shows this embodiment at a first point in timewherein data from snoring sensor 6502 indicates that person 6501 issnoring and this snoring sound is clearly heard by the person's bedpartner. The right side of FIG. 65 shows this embodiment at a secondpoint in time wherein sound-masking member 6504 has been activated inresponse to detected snoring and wherein a sound-masking sonic emissionhas reduced the perception of snoring sound by the person's bed partner.In an example, a snoring sensor can further comprise a microphone. In anexample, a snoring sensor can be worn on a portion of a person's bodyselected from the group consisting of: wrist; hand; finger; arm; neck;ear; nose; and torso. In an example, a sound-masking member can belocated on a bed headboard. In an example, a sound-masking member can beincorporated into a mobile electronic device such as a smart phone orelectronic tablet. In an example, a sound-masking member can be placedon a surface elsewhere in a bedroom. In an example, a data-control unitcan be co-located with the sound-masking member instead of co-locatedwith the snoring sensor. In an example, data from a snoring sensor canbe used to control a sleep-environment-modifying component which emitssound with the same central frequency or frequency range as ambientsound.

FIG. 66 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning snoring; asleep-environment-modifying component which changes the temperature ofthe air, mattress, blanket, or other bedding material near the person'sbody; and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 66 comprises: snoringsensor 6602; data-control component 6603; and temperature-changingblanket 6604. In this example, data-control component 6603 changes thetemperature of blanket 6604 based on data from snoring sensor 6602. Inan example, changing the sleep environment temperature of person 6601can reduce snoring behavior. The left side of FIG. 66 shows thisembodiment at a first point in time wherein data from snoring sensor6602 indicates that person 6601 is snoring. The right side of FIG. 66shows this embodiment at a second point in time whereintemperature-changing blanket 6604 is cooling person 6601, assymbolically represented by “snowflake” symbol 6607.

In an example, a snoring sensor can comprise a microphone. In anexample, a snoring sensor can be worn on a person's wrist, hand, finger,neck, ear, nose, head, or torso. In an example, a snoring sensor can beincorporated into a smart phone or other mobile electronic device. In anexample, a snoring sensor can be incorporated into a garment. In anexample, a snoring sensor can be incorporated into a bed headboard,mattress, blanket, or box spring.

In this example, the temperature of temperature-changing blanket isreduced by circulation of a cooling liquid or gas from heat exchanger6605 via flow tubes 6606. In this example, heat exchanger transfers heatfrom the blanket to air in the room. In another example, a heatexchanger can further comprise a compartment to contain ice or anotherpre-cooled substance. In an example, a cooling liquid or gas cancirculate through sinusoidal tubes or channels in blanket 6604. In thisexample, blanket 6604 provides a cooling function. In another example,blanket 6604 can provide a warming function. In an example, a warmingfunction can be provided by a traditional electric blanket rather thanby a blanket with circulating fluid or gas.

In an example, a reduction in the temperature of a person's sleepenvironment can reduce that person's snoring. In an example, an increasein the temperature of a person's sleep environment can reduce thatperson's snoring. In an example, a person's snoring can be reduced by achange in temperature which changes the tone or flexibility of softtissue along the person's airway. In an example, a person's snoring canbe reduced by a change in temperature which changes the resonantfrequency of vibrating tissue or airway space along a person's airway.In an example, a person's snoring can be reduced by a change intemperature which changes the opening size of a person's airway. In anexample, data from a snoring sensor is used to change the temperature ofa blanket, a mattress pad, a mattress, a pillow, or airflow in gaseouscommunication with a sleeping person.

FIG. 67 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning snoring; asleep-environment-modifying component which controls the operation of anacoustic partition or barrier between a second person and the person;and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 67 comprises: snoringsensor 6702, data-control component 6703; and movable acoustic partition6704. In this example, when data from snoring sensor 6702 indicates thatperson 6701 is snoring, then this triggers the deployment of movingacoustic partition 6704. In this example, acoustic partition is wrappedaround a cylindrical member above the central longitudinal axis of a bedfor two people when it is not deployed and unrolls downward to form anacoustic partition between the two people when it is deployed. In thisexample, a movable acoustic partition is unrolled downward to form apartition in a vertical plane which that is substantially along thecentral longitudinal axis of a bed.

The left side of FIG. 67 shows this embodiment at a first point in timewhen data from snoring sensor 6702 indicates that person 6701 is notsnoring and moving acoustic partition 6704 is not deployed. The rightside of FIG. 67 shows this embodiment at a second point in time whendata from snoring sensor 6702 indicates that person 6701 is snoring andthis indication triggers the deployment of moving acoustic partition6704. In this example, the deployment of moving acoustic partition 6704between the two people helps to reduce the transmission of snoring soundfrom person 6701 to the person's bed partner. In an example, a snoringsensor can comprise a microphone. In an example, a snoring sensor can beworn on a person's wrist, hand, arm, neck, ear, nose, head, or torso. Inan example, a snoring sensor can be incorporated into a bed headboard,mattress, box spring, blanket, or pillow. In an example, a snoringsensor can be part of a mobile electronic device such as a smart phone.

In an example, a movable acoustic partition can be deployed by inflationinstead of unrolling. In an example, a movable acoustic partition can bedeployed by sliding or unfolding. In an example, a movable acousticpartition can be an acoustic curtain which slides across the centrallongitudinal axis of a bed along a rod located above the bed. In anexample, a movable acoustic partition can be deployed by being loweredonto a portion of a bed. In an example, analysis of data from a snoringsensor or snoring monitor can be used to: control the operation of anacoustic partition or barrier between a second person and the person;and/or control the operation of a central longitudinal acousticpartition or barrier on a bed. In an example, this analysis can occur ina data-control component which is co-located with the snoring sensor ormonitor. In an example, this analysis can occur in a data processing ina remote device with which a snoring sensor or monitor is in wirelesscommunication.

FIG. 68 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the direction of a flow of air coming from aportable fan or blower; and a data-control component which controls theoperation of the sleep-environment-modifying component in order toautomatically change the person's sleep environment based on data fromthe wearable-sensor component.

More specifically, the embodiment shown in FIG. 68 comprises: wearablethermal energy sensor 6802; power source or transducer 6803; portablefan 6804; and data-control component 6805. In this example, theoperation of portable fan 6804 is controlled by data from wearablethermal energy sensor 6802. In this example, when data from wearablethermal energy sensor 6802 indicates an increase in the temperature ofperson 6801, then this triggers portable fan 6804 to direct airflowtoward person 6801. In this example, when data from wearable thermalenergy sensor 6802 indicates that person 6801 is too warm, thendata-control component 6805 changes the direction of airflow fromportable fan 6804 toward person 6801.

In an example, when data from wearable thermal energy sensor 6802indicates that a person is experiencing a temporary biologically-causedupswing in body temperature (such as a hot flash), then this can triggerairflow from an air-moving device to be directed toward the person for aperiod of time. In an example, when data from wearable thermal energysensor 6802 predicts that a person will probably experience a temporarybiologically-caused increase in body temperature (such as a hot flash)soon, then this can trigger airflow from an air-moving device to bedirected toward the person for prophylactic reduction in the person'sbody temperature to mitigate or avoid the effects of the upswing in bodytemperature. In an example, airflow can be triggered for a predefinedperiod of time. In an example, airflow can be activated until theupswing in body temperature is over, based on data from the wearablethermal energy sensor. In an example, data from a wearable thermalenergy sensor can be combined with data from another type of body sensor(such as a heart rate sensor, skin moisture sensor, or skin impedancesensor) to predict a temporary upswing in a person's body temperatureand trigger airflow toward the person.

In this example, wearable thermal energy sensor 6802 is a thermistor, assymbolically represented by the thermistor electrical component symbolshown within a dotted-line circle in FIG. 68. In an example, wearablethermal energy sensor can be a thermometer or other type oftemperature-measuring sensor. In this example, a wearable thermal energysensor is worn on a person's wrist. In an example, a wearable thermalenergy sensor can be worn on a person's finger, hand, arm, neck, ear,head, torso, leg, or foot. In an example, a wearable thermal energysensor can be incorporated into an article of clothing that a personwears to bed. In an example, a wearable thermal energy sensor can beincorporated into an electronically-functional bandage, sticker, ortattoo.

In an example, data from a wearable thermal energy sensor can be used tochange the activation, direction, volume, speed, or temperature ofairflow from an air-moving device. In an example, an air-moving devicecan be a portable fan which is placed on a surface in a person's bedroomto selectively direct air towards the person when the person is toowarm. In an example, an air-moving device can be a fan which isincorporated into a bed headboard or other part of a bed structure. Inan example, an air-moving device can be a fan which is incorporated intoa box spring, mattress, or other bedding structure or layer. In anexample, an air-moving device can be mounted in a room window. In anexample, the temperature of airflow which is triggered by data from awearable thermal energy sensor can also be adjusted by an air-movingdevice with heat transfer capability, such as an air conditioner.

In this example, a data-control component is co-located with anair-moving device. In another example, a data-control component can beco-located with a wearable thermal energy sensor. In another example, adata-control component can be located in a separate device, such as asmart phone or electronic tablet, with which both the wearable thermalenergy sensor and the air-moving device are in wireless communication.In an example, data from a wearable thermal energy sensor can be usedto: change the direction of a flow of air coming from a portable fan orblower; control the operation of a portable fan or blower which directsairflow toward a person's body; change the rate of the flow of air froma window-based air conditioner; start or stop a portable fan or blower;change the direction of a flow of air and/or other gas which the personbreathes; or change the rate of the flow of air and/or other gas incommunication with the surface of the person's body.

The left side of FIG. 68 shows this embodiment at a first point in timein which airflow from portable fan 6804 is directed in a first direction(away from person 6801) based on a first pattern of data from wearablethermal energy sensor 6802. The right side of FIG. 68 shows thisembodiment at a second point in time in which airflow from portable fan6804 is directed in a second direction (toward person 6801) based on asecond pattern of data from wearable thermal energy sensor 6802. In thisexample, the first pattern of data indicates a normal body temperatureand the second pattern of data indicates a higher body temperature. Inan example, the first pattern of data indicates a normal bodytemperature and the second pattern of data predicts a coming upswing inbody temperature. In an example, the direction of airflow toward person6801 can help to mitigate or avoid the effects of a hot flash.

FIG. 69 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the flow of air and/or other gas incommunication with the surface of the person's body; and a data-controlcomponent which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent. More specifically, the embodiment shown in FIG. 69 comprises:wearable thermal energy sensor 6902; air-moving member 6905; anddata-control component 6903. In this example, when data from wearablethermal energy sensor 6902 indicates that person 6901 is too warm orpredicts an upswing in the body temperature of person 6901, then thistriggers activation of air-moving member 6905 which directs airflow overperson 6901.

In this example, wearable thermal energy sensor 6902 is a thermistor. Inother examples, wearable thermal energy sensor can be a thermometer orother type of temperature sensor. In this example, wearable thermalenergy sensor 6902 is worn on a person's wrist. In other examples, awearable thermal energy sensor can be worn on a person's finger, hand,arm, neck, ear, head, torso, leg, or foot. In an example, a wearablethermal energy sensor can be incorporated into an article of clothingthat a person wears to bed. In this example, air-moving member 6905 is afan which is incorporated into the headboard of a bed. In otherexamples, an air-moving member can be incorporated into another part ofa bed structure or bedding layer, such as a mattress, box spring, orblanket. In an example, an air-moving member can be a portable fan whichis located on a separate surface in a person's bedroom. In an example,an air-moving member can be a window-mounted air conditioner. In thisexample, data-control component 6903 is co-located with wearable thermalenergy sensor 6902 as part of a wrist member. In another example, adata-control component can be co-located with an air-moving member. Inanother example, a data-control component can be incorporated into amobile electronic device such as a cell phone or electronic tablet.

In this example, there are two air-moving members, 6904 and 6905, whichare incorporated into a bed structure. In this example, each of the twoair-moving members directs air over half of the bed so that airflow overtwo bed partners on different sides of the bed can be separately anddifferentially adjusted. In this example, only one of the people in thebed has a wearable thermal energy sensor. In another example, eachperson in the bed can have their own wearable thermal energy sensor anddata from these two sensors can be used to separately and differentiallyadjust the sleeping environments of the two sides of the bed.

In an example, data from a wearable thermal energy sensor can be used todetermine when the skin and/or body temperature of person 6901 is toohigh and this can trigger activation of an air-moving member. In anexample, data from a wearable thermal energy sensor can be used topredict a biologically-induced temporary upswing in body temperature(such as a hot flash) and this can trigger activation of an air-movingmember. In an example, data from a wearable thermal energy sensor can becombined with data from other wearable sensors (such as a blood pressuresensor, a skin impedance or conductivity sensor, a skin moisture sensor,an ECG sensor, an EMG sensor, and/or an EEG sensor) in order to predicta biologically-induced temporary change in body temperature (such as ahot flash). In an example, airflow from an air-moving member can betriggered for a predetermined amount of time and then it automaticallyshuts off. In an example, airflow from an air-moving member can continueuntil data from a wearable thermal energy sensor indicates that aperson's temperature has decreased to a normal level.

The left side of FIG. 69 shows this embodiment at a first point in timewherein air-moving member 6905 is not activated based on a first patternof data from wearable thermal energy sensor 6902. The right side of FIG.69 shows this embodiment at a second point in time wherein air-movingmember 6905 is activated based on a second pattern of data from wearablethermal energy sensor 6902. In an example, data from a wearable thermalenergy sensor can be used to automatically: turn a fan on; change theflow of air and/or other gas in communication with the surface of aperson's body; change the direction, flow rate, pressure, humidity,temperature, mixture, and/or source of the air or other gas which theperson breathes; or change the rate of the flow of air and/or other gaswhich the person breathes.

FIG. 70 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the laminar flow of air and/or other gas incommunication with the surface of the person's body; and a data-controlcomponent which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 70 comprises: a wearablethermal energy sensor 7002; a data-control component 7003; and a laminarairflow mechanism comprising outflow vent 7004 and inflow vent 7005. Inan example, when data from wearable thermal energy sensor 7002 indicatesthat the body temperature of person 7001 is too high, then this triggersactivation of a laminar airflow over person 7001 from outflow vent 7004to inflow vent 7005. In an example, when data from wearable thermalenergy sensor 7002 predicts a temporary upswing in the body temperatureof person 7001, then this triggers a prophylactic laminar airflow overperson 7001 to mitigate or avoid the effects of this upswing.

In an example, wearable thermal energy sensor 7002 can be a thermistor,as symbolically represented by the thermistor electronic componentsymbol on the left side of FIG. 70. In an example, wearable thermalenergy sensor 7002 can be a thermometer or other type of temperaturesensor. In this example, a wearable thermal energy sensor isincorporated into a smart watch or wrist band. In other examples, awearable thermal energy sensor can be incorporated into garment which aperson wears in bed. In other examples, a wearable thermal energy sensorcan be worn on a person's finger, hand, arm, neck, ear, head, torso,leg, or foot.

In an example, a data-control component can control the manner in whicha laminar airflow is changed based on data from a wearable thermalenergy sensor. In this example, a data-control component is co-locatedwith a wearable thermal energy sensor in a smart watch or wrist band. Inan example, data-control component can be located in a separate deviceand in wireless communication with a wearable thermal energy sensor. Inan example, a data-control component can be integrated into a smartphone, electronic tablet, or other mobile electronic device.

In this example, a laminar airflow mechanism comprises an outflow ventwhich is part of a bed headboard and an inflow vent which is part of abed footboard, mattress, or box spring. In this example, a laminarairflow spans a person in a plane which is substantially horizontal. Inthis example, a laminar airflow spans a person in a longitudinal mannerfrom the head of a bed to the foot of a bed. In an example, a laminarairflow can span a person in a diagonal manner from the head of a bed tothe side of a bed. In this example, a bed has two laminar airflowmechanisms, one on each side of the bed, which can be separately anddifferentially activated to provide individual sleeping environmentmodification for two people in the same bed.

In an example, a laminar airflow can help to cool a person who isexperiencing an upswing in body temperature as detected by a wearablethermal energy sensor. In an example, the volume, speed, temperature, orspatial configuration of a laminar airflow can be adjusted based onselected patterns of data from a wearable thermal energy sensor. In anexample, data from a wearable thermal energy sensor can be used to:change the laminar flow of air and/or other gas in communication withthe surface of a person's body; control the operation of a centrallongitudinal laminar airflow on a bed; change the spatial configurationof the flow of air and/or other gas which the person breathes; or changethe laminar flow of air and/or other gas which the person breathes. Inan example, a laminar airflow mechanism can enable relatively-precisecontrol of airflow across one side of a bed and not the other.

The left side of FIG. 70 shows this embodiment at a first point in timewherein a laminar airflow mechanism is not activated, due to a firstpattern of data from a wearable thermal energy sensor. In an example,this first pattern of data can indicate a normal body temperature. Theright side of FIG. 70 shows this embodiment at a second point in timewherein a laminar airflow mechanism has been activated, based on asecond pattern of data from a wearable thermal energy sensor. In thisexample, this second pattern of data indicates an undesirably high bodytemperature.

FIG. 71 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the direction of a flow of air from awindow-based air conditioner; and a data-control component whichcontrols the operation of the sleep-environment-modifying component inorder to automatically change the person's sleep environment based ondata from the wearable-sensor component.

More specifically, the embodiment shown in FIG. 71 comprises: wearablethermal energy sensor 7102, power source or transducer 7103,window-based air conditioner 7104, and data-control component 7105. Inthis example, the direction, volume, speed, or temperature of airflowfrom window-based air conditioner 7104 is changed based on data fromwearable thermal energy sensor 7102. In this example, data-controlcomponent 7105 changes the direction, volume, speed, or temperature ofairflow from window-based air conditioner 7104 based on data fromwearable thermal energy sensor 7102.

The left side of FIG. 71 shows this embodiment at a first point in timewherein airflow from window-based air conditioner 7104 is not directedtoward person 7101, based on a first level of thermal energy detected bywearable thermal energy sensor 7102. The right side of FIG. 71 showsthis embodiment at a second point in time wherein airflow fromwindow-based air conditioner 7104 has been directed toward person 7101based on a second level of thermal energy detected by wearable thermalenergy sensor 7102. In this example, the second level of thermal energyis greater than the first level of thermal energy. In an example,directing airflow toward person 7101 when data from wearable thermalenergy sensor 7102 indicates that person 7101 is too warm can help tocool off person 7101 when needed.

In this example, wearable thermal energy sensor 7102 is a thermistor, asrepresented symbolically by the symbol for a thermistor electroniccomponent shown in a dotted-line circle on the left side of FIG. 71. Inanother example, a wearable thermal energy sensor can be a thermometeror other type of temperature-measuring sensor. In this example, wearablethermal energy sensor 7102 is part of a smart watch, wrist band, orother wrist-worn device. In other examples, a wearable thermal energysensor can be incorporated into a different type of wearable device oran article of clothing which person 7101 wears to bed.

In an example, the direction of airflow from window-based airconditioner 7104 can be controlled by changing the direction ororientation of airflow vents on the air conditioner. In an example,data-control component 7105 can change the direction or orientation ofairflow vents on window-based air conditioner 7104 based on data fromwearable thermal energy sensor 7102. In an example, a data-controlcomponent can be co-located with a wearable thermal energy sensor on awearable device. In an example, a data-control component can be part ofa smart phone, electronic tablet, or other mobile electronic device. Inan example, a data-control component can be part of a home environmentalcontrol system. In an example, data from a wearable thermal energysensor can be used to control the operation of a window-based airconditioner or central HVAC system.

In an example, a system, device, and method for adjusting thetemperature or a person's sleeping environment based on a person's bodytemperature, as measured by a wearable thermal energy sensor, can helpto mitigate or avoid the adverse effects of temporary,biologically-induced upswings in body temperature such as hot flashes.In an example, a ventilation or cooling system or device can have afirst configuration when a person's skin and/or body temperature iswithin a normal range, based on data from a wearable thermal energysensor. In an example, a ventilation or cooling system or device canhave a second configuration when a person's skin and/or body temperatureis above a normal range, based on data from a wearable thermal energysensor. In an example the second configuration can comprise one or moreof the following: a change in the direction of airflow toward theperson; a cooling airflow directed toward the person; and an increase inairflow volume directed toward the person.

FIG. 72 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the direction of a flow of air from a centralheating, ventilation, and/or air-conditioning (HVAC) system; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 72 comprises: a wearablethermal energy sensor 7202; a power source or transducer 7303; a centralheating, ventilation, and/or air-conditioning (HVAC) system control unit7204; and an outflow vent 7205. In an example, the direction of airflowfrom outflow vent 7205 is automatically changed by HVAC system controlunit 7204 based on data from wearable thermal energy sensor 7202. In anexample, when wearable thermal energy sensor 7202 indicates that theskin and/or body temperature of person 7201 is too high, then thistriggers airflow from vent 7205 to be directed toward person 7201. Inother examples, when wearable thermal energy sensor 7202 indicates thatthe skin and/or body temperature of person 7201 is too high, then thistriggers a decrease in the temperature of airflow through a HVAC systemand/or from vent 7205.

The left side of FIG. 72 shows this embodiment at a first point in timewherein airflow from vent 7205 is not directed toward person 7201because data from wearable thermal energy sensor 7202 indicates that theperson's skin and/or body temperature is within a normal range. Theright side of FIG. 72 shows this embodiment at a second point in timewherein airflow from vent 7205 is directed toward person 7201 becausedata from wearable thermal energy sensor 7202 indicates that theperson's skin and/or body temperature is above a normal range. In anexample, the direction of airflow from vent 7205 can be changed bymoving slats or other air-directing members on airflow vent 7205. In anexample, actuators which move slats on vent 7205 can be controlled byHVAC control unit 7204.

In an example, wearable thermal energy sensor 7202 can be a thermistor,as indicated by the electrical component symbol for a thermistor whichis shown in a dotted-line circle on the left side of FIG. 72. In anexample, a wearable thermal energy sensor can be a thermometer or othertype of temperature-measuring sensor. In this example, wearable thermalenergy sensor 7202 is worn on a person's wrist. In other examples, awearable thermal energy sensor can be worn on a person's finger, hand,arm, neck, head, torso, leg, or ankle. In an example, a wearable thermalenergy sensor can be integrated into an article of clothing that aperson wears to bed.

In an example, an HVAC control unit can be co-located with a wearablethermal energy sensor in a wearable device. In an example, an HVACcontrol unit can be incorporated into a smart phone, electronic tablet,or other portable electronic device. In an example, an HVAC control unitcan change one or more of the following operational aspects of an HVACsystem based on data from a wearable thermal energy sensor: thedirection of airflow from an HVAC system; the inter-room distribution ofairflow from an HVAC system; the overall temperature of airflow from anHVAC system; the inter-room transfer of thermal energy by an HVACsystem; the mix of internal (re-circulated) vs. external (environmental)air in airflow through an HVAC system; the level of air filtering by anHVAC system; and the volume of airflow through an HVAC system.

FIG. 73 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the inter-room distribution of a flow of airfrom a central heating, ventilation, and/or air-conditioning (HVAC)system; and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 73 comprises: wearablethermal energy sensor 7302; power source or transducer 7303; centralheating, ventilation, and/or air-conditioning (HVAC) system control unit7304; and outflow vent 7305. In this example, the inter-roomdistribution of airflow from an HVAC system is changed by HVAC systemcontrol unit 7304 based on data from wearable thermal energy sensor7302. In an example, when data from wearable thermal energy sensor 7302indicates that person 7301 is too warm, then this triggers greaterairflow into the person's room through outflow vent 7305.

In this example, the overall volume of airflow through an HVAC systemremains substantially constant, but a greater proportion of this airflowis directed into the room of person 7301 when person 7301 is too warm.This can be done by opening or otherwise moving the slats on vent 7305.In another example, the inter-room distribution of airflow from an HVACsystem can be automatically changed by selectively opening or closingair valves in duct work. In another example, the overall volume ofairflow through the HVAC system can be increased for all rooms served bythe system. In other examples, the temperature or direction of airflowfrom vent 7305 can be changed based on data from wearable thermal energysensor 7302.

In an example, wearable thermal energy sensor 7302 can be a thermistor,as indicated by the thermistor electronic component symbol shown in adotted-line circle on the left side of FIG. 73. In other examples, awearable thermal energy sensor can be a thermometer or other type oftemperature sensor. In this example, wearable thermal energy sensor 7302is worn on a person's wrist. In other examples, a wearable thermalenergy sensor can be worn on a person's finger, hand, arm, neck, ear,nose, head, torso, leg, or foot. In an example, a wearable energy can beincorporated into a shirt, shorts, pants, or other garment that a personwears to bed.

The left side of FIG. 73 shows this embodiment at a first point in timewherein the person's skin and/or body temperature based on data fromwearable thermal energy sensor 7302 is within a selected range and, as aresult, there is a first volume of airflow from vent 7305. The rightside of FIG. 73 shows this embodiment at a second point in time whereinthe person's skin and/or body temperature based on data from wearablethermal energy sensor 7302 is above this selected range and, as aresult, there is a second volume or airflow from vent 7305. In anexample, the second volume or airflow is greater than the first volumeof airflow, as symbolically represented by thicker and longerdotted-lines arrows coming out of vent 7305 on the right side of FIG. 73vs. the left side of FIG. 73.

In an example, data from wearable thermal energy sensor can be used tochange one or more of the following aspects of the operation of acentral heating, ventilation, and/or air-conditioning (HVAC) system: theoverall volume of airflow through an HVAC system; the overall rate ofairflow through an HVAC system; the overall temperature of airflowthrough an HVAC system; the inter-room distribution of airflow from anHVAC system; and the transfer of thermal energy between different roomsserved by a central HVAC system.

FIG. 74 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which controls MEMS actuators in a blanket or other beddinglayer to change the thickness of the blanket or other bedding layer; anda data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 74 comprises: wearablethermal energy sensor 7402; data-control component 7403; andvariable-thickness blanket 7404. In this example, the thickness ofblanket 7404 is controlled by data-control component 7403 based on datafrom wearable thermal energy sensor 7402. In an example, when data fromwearable thermal energy sensor 7402 indicates that person 7401 has anundesirably high skin and/or body temperature, then this triggers adecrease in the thickness of variable-thickness blanket 7404.

In an example, variable-thickness blanket 7404 can further comprise anarray of actuators and the thickness of blanket 7404 can be changed byactivation of this array of actuators. In an example, variable-thicknessblanket 7404 can comprise an array of piezoelectric members and thethickness of blanket 7404 can be changed by application of an electricalcurrent to these piezoelectric members. In an example,variable-thickness blanket 7404 can further comprise an array ofinflatable members and the thickness of blanket 7404 can be changed byinflation or deflation of these inflatable members.

The left side of FIG. 74 shows this embodiment at a first point in timewherein blanket 7404 has a first thickness based on a first pattern ofdata from wearable thermal energy sensor 7402. The right side of FIG. 74shows this embodiment at a second point in time wherein blanket 7404 hasa second thickness based on a second pattern of data from wearablethermal energy sensor 7402. In an example, the second thickness is lessthan the first thickness. In an example, the first pattern of dataindicates a skin and/or body temperature that is within a selected(normal) range and the second pattern of data indicates a skin and/orbody temperature that is above this selected (normal) range. In anexample, when data from wearable thermal energy sensor 7402 indicatesthat person 7401 is too warm, then this automatically triggers areduction in the thickness of variable-thickness blanket 7404.

In this example, wearable thermal energy sensor 7402 is a thermistor. Inother examples, wearable thermal energy sensor can be a thermometer orother type of temperature sensor. In an example, the location ofwearable thermal energy sensor can be selected from the group consistingof: wrist, hand, finger, arm, torso, abdomen, leg, foot, head, ear, andnose. In an example, a wearable thermal energy sensor can beincorporated into a smart watch or wrist band. In an example, a wearablethermal energy sensor can be incorporated into an article of clothingwhich a person wears to bed. In an example, this article of clothing canbe selected from the group consisting of: shirt; shorts; pants; hat; orsock.

In an example, data from a wearable thermal energy sensor concerning aperson's skin and/or body temperature can be used to automaticallychange: the thickness of a blanket, sheet, quilt, or other bedding layerworn over the person; the R-value and/or insulation value of a blanket,sheet, quilt, or other bedding layer worn over the person; or thethickness or insulation value of a sleeping bag. In an example, whendata from a wearable thermal energy sensor indicates that a person istoo warm, then this system or device can automatically decrease thethickness and/or insulation value of a blanket, sheet, quilt, or otherbedding layer worn by the person. In an example, this decrease can befor a predefined period of time. In an example, this decrease cancontinue until the person's temperature decreases, based on data fromthe wearable thermal energy sensor.

FIG. 75 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the porosity of a sheet, blanket, or otherbedding layer over the person; and a data-control component whichcontrols the operation of the sleep-environment-modifying component inorder to automatically change the person's sleep environment based ondata from the wearable-sensor component.

More specifically, the embodiment shown in FIG. 75 comprises: wearablethermal energy sensor 7502; data-control component 7503; andvariable-porosity blanket 7504. In this example, the porosity ofvariable-porosity blanket is controlled by blanket control mechanism7505. In this example, the porosity of variable-porosity blanket 7504 ischanged based on data from wearable thermal energy sensor 7502. In anexample, when data from wearable thermal energy sensor 7502 indicatesthat person 7501 has a high skin and/or body temperature, then thistriggers an increase in the gaseous porosity of blanket 7504 in order tohelp the person lose body heat and/or moisture.

In an example, variable-porosity blanket 7504 can further comprisemicroscale actuators and the porosity of blanket 7504 can be changed byselective activation of these microscale actuators. In an example,variable-porosity blanket 7504 can further comprise piezoelectricmembers (such as piezoelectric strands, fibers, or threads) and theporosity of blanket 7504 can be changed by application of electricalcurrent to these piezoelectric members. In an example, variable porosityblanket 7504 can further comprise inflatable members and the porosity ofblanket 7504 can be changed by the inflation of these inflatablemembers.

In an example, wearable thermal energy sensor 7502 can be a thermistor,as indicated symbolically by the thermistor electrical component symbolwithin a dotted-line circle on the left side of FIG. 75. In an example,a wearable thermal energy sensor can be a thermometer or othertemperature-measuring sensor. In an example, a wearable thermal energysensor can measure a person's skin temperature. In an example, awearable thermal energy sensor can measure a person's internal bodytemperature. In an example, a wearable thermal energy sensor can beincorporated into a smart watch, wrist band, wait band, arm band,headband, or other wearable accessory. In an example, a wearable thermalenergy sensor can be incorporated into an article of clothing which aperson wears to bed.

In an example, data from a wearable thermal energy sensor can becombined with data from other wearable sensors (such as a moisturesensor, a heart rate sensor, and an electromagnetic energy sensor) topredict when a person will soon have a temporary biologically-inducedupswing in temperature, such as a hot flash. In an example, when suchcombined data indicates that a person will probably have a temperatureupswing in the near future, then this embodiment can reduce the porosityof a blanket in a prophylactic manner to mitigate or avoid the effectsof the temperature upswing. In an example, this reduction in porositycan be for a predefined period of time or can be until a temperatureupswing is over. In an example, data from a wearable thermal energysensor can be used to: change the porosity of a blanket or other beddinglayer covering a person; change the porosity of a sheet over a person;and/or control MEMS actuators in a blanket or other bedding layer inorder to change the porosity of the blanket or other bedding layer.

The embodiment of this invention which is shown in FIG. 76 is similar tothe embodiment shown in FIG. 75, except that it comprises avariable-porosity mattress instead of a variable porosity blanket. FIG.76 shows an example of how this invention can be embodied in a system,device, and method that uses wearable technology to collect data forautomatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the porosity of a bedding surface or layer onwhich the person lies; and a data-control component which controls theoperation of the sleep-environment-modifying component in order toautomatically change the person's sleep environment based on data fromthe wearable-sensor component.

More specifically, the embodiment shown in FIG. 76 comprises: wearablethermal energy sensor 7602; data-control component 7603; andvariable-porosity mattress 7604. In an example, data-control component7603 triggers an increase in the porosity of variable-porosity mattress7604 when data from wearable thermal energy sensor 7602 indicates a highskin and/or body temperature for person 7601. In an example, data from awearable thermal energy sensor can be used to change the porosity of amattress, mattress pad, or box spring.

FIG. 77 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the porosity of a garment worn by the person;and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 77 comprises: wearablethermal energy sensor 7702; data-control component 7703; andvariable-porosity garment 7704. In an example, data-control component7703 changes the porosity of variable-porosity garment 7704 based ondata from wearable thermal energy sensor 7702. In an example, when datafrom wearable thermal energy sensor 7702 indicates a high skintemperature and/or body temperature for person 7701, then data-controlcomponent 7703 increases the porosity of garment 7704 to help person7701 lose excess body heat. In an example, when data from wearablethermal energy sensor 7702 indicates a low skin temperature and/or bodytemperature for person 7701, then data-control component 7703 decreasesthe porosity of garment 7704 to help person 7701 conserve body heat.

In an example, variable-porosity garment 7704 can further comprisepiezoelectric fabric whose porosity can be changed by application ofelectrical current via wire 7706 from garment control unit 7705. In anexample, a variable-porosity garment can further comprise an array ofmicroscale actuators and the porosity of this garment can be changed byselective activation of these actuators. In an example, avariable-porosity garment can further comprise an array of inflatablemembers and the porosity of this garment can be changed by selectiveinflation or deflation of these members. In an example, avariable-porosity garment can be selected from the group consisting of:shirt; shorts; pants; pajamas; hat; socks; and union suit. In anexample, variable porosity garment 7704 can further comprise: Cotton,Nylon, Rayon, Danconn or Polyester.

The left side of FIG. 77 shows this embodiment at a first point in timewherein garment 7704 has a first porosity level based on a first patternof data from wearable thermal energy sensor 7702. The right side of FIG.77 shows this embodiment at a second point in time wherein garment 7704has a second porosity level based on a second pattern of data fromwearable thermal energy sensor 7702. In an example, the second porositylevel is greater than the first porosity level. In an example, the firstpattern of data indicates that the person's skin and/or body temperatureis within a normal range and the second pattern of data indicates thatthe person's skin and/or body temperature is above the normal range.

In an example, wearable thermal energy sensor 7702 can be a thermistor,as symbolically indicated by the thermistor electrical component symbolshown in a dotted-line circle on the left side of FIG. 77. In anexample, wearable thermal energy sensor 7702 can be a thermometer orother type of thermal energy sensor. In an example, wearable thermalenergy sensor can be part of a smart watch or wrist band. In an example,wearable thermal energy sensor 7702 can be incorporated intovariable-porosity garment 7704. In an example, wearable thermal energysensor can be worn elsewhere on a person's body selected from the groupconsisting of: finger, hand, arm, torso, waist, neck, head, ear, nose,leg, back, and foot.

FIG. 78 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which opens or closes a room window; and a data-controlcomponent which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 78 comprises: wearablethermal energy sensor 7802; data-control component 7803; andauto-adjustable window 7804. In an example, data-control component 7803automatically opens auto-adjustable window 7804 when data from wearablethermal energy sensor 7802 indicates that person 7801 has a high skinand/or body temperature. The left side of FIG. 78 shows this embodimentat a first point in time wherein window 7804 is closed because data fromwearable thermal energy sensor 7802 indicates that person 7801 has anormal skin and/or body temperature. The right side of FIG. 78 showsthis embodiment at a second point in time wherein window 7804 has beenautomatically opened because wearable thermal energy sensor 7802 hasindicated that person 7801 has a high skin and/or body temperature.

In an example, auto-adjustable window 7804 can be opened by data-controlcomponent 7803 through wireless communication between data-controlcomponent 7803 and window actuator 7805. In an example, auto-adjustablewindow 7804 can be opened for a predefined duration of time when aperson's skin and/or body temperature reaches a high level. In anexample, auto-adjustable window 7804 can be automatically opened inresponse to data indicating a high skin and/or body temperature and canbe automatically closed in response to data indicating a return to anormal skin and/or body temperature. In an example, automatic openingand closing of a window in response to swings in a person's skin and/orbody temperature while sleeping can help to mitigate the effects oftemporary swings in body temperature such as hot flashes.

In an example, a wearable thermal energy sensor can be a thermistor. Inan example, a wearable thermal energy sensor can be a thermometer orother type of temperature sensor. In an example, a wearable thermalenergy sensor can be configured to be worn on a portion of a person'sbody selected from the group consisting of: finger, hand, wrist, arm,torso, waist, back, leg, ankle, foot, ear, nose, and head. In anexample, a wearable thermal energy sensor can be integrated into agarment. In an example, data from a wearable thermal energy sensor canbe used to open or close a room window or door.

FIG. 79 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the temperature of a blanket over the person;and a data-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 79 comprises: wearablethermal energy sensor 7902; data-control component 7903; andadjustable-temperature blanket 7904. In an example, data-controlcomponent 7903 changes the temperature of adjustable-temperature blanket7904 based on data from wearable thermal energy sensor 7902. In anexample, when data from wearable thermal energy sensor 7902 indicatesthat person 7901 has a high skin and/or body temperature, then ittriggers circulation of a cooling fluid or gas through blanket 7904. Inthis example, the cooling fluid or gas which is circulated throughadjustable-temperature blanket 7904 is cooled by heat pump 7905 andconducted to blanket 7904 via flow tubes 7906.

In an example, when data from wearable thermal energy sensor 7902indicates that person 7901 has a skin and/or body temperature that iswithin a normal range, then fluid or gas is not circulated throughadjustable-temperature blanket 7904. In an example, when data fromwearable thermal energy sensor 7902 indicates that person 7901 has askin and/or body temperature that is above a normal range, thendata-control component 7903 triggers a flow of cooling fluid or gasthrough adjustable-temperature blanket 7904. In an example,adjustable-temperature blanket 7904 can further comprise sinusoidalfluid or gas pathways through which a cooling fluid or gas cancirculate.

The left side of FIG. 79 shows this embodiment at a first point in timewherein data from wearable thermal energy sensor 7902 indicates that thetemperature of person 7901 is within a normal range and, accordingly,there is no circulation of cooling fluid or gas throughadjustable-temperature blanket 7904. The right side of FIG. 79 showsthis embodiment at a second point in time wherein data from wearablethermal energy sensor 7902 indicates that the temperature of person 7901is above a normal range and, accordingly, this has triggered a flow ofcooling fluid or gas through adjustable-temperature blanket 7904.

In this manner, this embodiment can help to automatically cool person7901, while they sleep, when they experience an upswing in bodytemperature such as a hot flash. In an example, cooling fluid or gas cancirculate through an adjustable-temperature blanket for a predefinedduration of time when this circulation is triggered by a high bodytemperature detected by wearable thermal energy sensor 7902. In anexample, cooling fluid or gas can be triggered to circulate through anadjustable-temperature blanket based on a high body temperature and cancontinue until a person's body temperature drops to a normal level.

In an example, a wearable thermal energy sensor can be a thermistor, asrepresented by the thermistor electrical component symbol shown in adotted-line circle on the right side of FIG. 79. In an example, awearable thermal energy sensor can be a thermometer or other type oftemperature-measuring sensor. In an example, a wearable thermal energysensor can be part of a smart watch or wrist band. In an example, awearable thermal energy sensor can be configured to be worn on a portionof a person's body selected from the group consisting of: finger, hand,wrist, arm, torso, waist, back, leg, ankle, foot, neck, ear, nose, andhead. In an example, a wearable thermal energy sensor can beincorporated into a garment (such as a shirt, pair of shorts, pair ofpants, one-piece pajamas, sock, or hat).

In an example a data-control component can be co-located with a wearablethermal energy sensor as part of a smart watch or wrist band. In anexample, a data-control component can be worn elsewhere on a person'sbody, as part of an accessory or electronically-functional clothing. Inan example, a data-control component can be part of a smart phone orother portable electronic device. In an example, data from a wearablethermal energy sensor can be used to: change the temperature of ablanket over a person; change the temperature of the air, mattress,blanket, or other bedding material near a person's body; change thetemperature of air and/or other gas in communication with the surface ofthe person's body; or change the temperature of air under a blanket orother bed covering.

The embodiment of this invention which is shown in FIG. 80 is similar tothe one shown in FIG. 79 except that it comprises anadjustable-temperature mattress instead of an adjustable-temperatureblanket. The embodiment shown in FIG. 80 is a system, device, and methodthat uses wearable technology to collect data for automatic modificationof a person's sleep environment comprising: a wearable-sensor componentthat is configured to be worn by a person, wherein this sensor componentcollects data concerning the person's skin temperature and/or bodytemperature; a sleep-environment-modifying component which changes thetemperature of a mattress; and a data-control component which controlsthe operation of the sleep-environment-modifying component in order toautomatically change the person's sleep environment based on data fromthe wearable-sensor component.

More specifically, the embodiment shown in FIG. 80 comprises: wearablethermal energy sensor 8002; data-control component 8003; andadjustable-temperature mattress 8004. In this example, this embodimentfurther comprises heat pump 8005 which pumps cooling fluid or gasthrough flow tubes 8006 into adjustable-temperature mattress 8004. Thiscooling function is symbolically represented by “snowflake” symbol 8007.In this example, data-control component 8003 activates heat pump 8005 tocirculate cooling fluid or gas through channels or pathways in mattress8004 when data from wearable thermal energy sensor 8002 indicates thatthe temperature of person 8001 is too high.

In an example, when data from wearable thermal energy sensor 8002indicates that person 8001 has a skin and/or body temperature that iswithin a normal range, then fluid or gas is not circulated throughadjustable-temperature mattress 8004. In an example, when data fromwearable thermal energy sensor 8002 indicates that person 8001 has askin and/or body temperature that is above a normal range, thendata-control component 8003 triggers a flow of cooling fluid or gasthrough adjustable-temperature mattress 8004. In an example,adjustable-temperature mattress 8004 can further comprise sinusoidalfluid or gas pathways through which a cooling fluid or gas cancirculate.

The left side of FIG. 80 shows this embodiment at a first point in timewherein data from wearable thermal energy sensor 8002 indicates that thetemperature of person 8001 is within a normal range and, accordingly,there is no circulation of cooling fluid or gas throughadjustable-temperature mattress 8004. The right side of FIG. 80 showsthis embodiment at a second point in time wherein data from wearablethermal energy sensor 8002 indicates that the temperature of person 8001is above a normal range and, accordingly, this has triggered a flow ofcooling fluid or gas through adjustable-temperature mattress 8004.

In this manner, this embodiment can help to automatically cool person8001, while they sleep, when they experience an upswing in bodytemperature such as a hot flash. In an example, cooling fluid or gas cancirculate through an adjustable-temperature mattress for a predefinedduration of time when this circulation is triggered by a high bodytemperature detected by wearable thermal energy sensor 8002. In anexample, cooling fluid or gas can be triggered to circulate through anadjustable-temperature mattress based on a high body temperature and cancontinue until a person's body temperature drops to a normal level.

In an example, a wearable thermal energy sensor can be a thermistor, asrepresented by the thermistor electrical component symbol shown in adotted-line circle on the right side of FIG. 80. In an example, awearable thermal energy sensor can be a thermometer or other type oftemperature-measuring sensor. In an example, a wearable thermal energysensor can be part of a smart watch or wrist band. In an example, awearable thermal energy sensor can be configured to be worn on a portionof a person's body selected from the group consisting of: finger, hand,wrist, arm, torso, waist, back, leg, ankle, foot, neck, ear, nose, andhead. In an example, a wearable thermal energy sensor can beincorporated into a garment (such as a shirt, pair of shorts, pair ofpants, one-piece pajamas, sock, or hat).

In an example a data-control component can be co-located with a wearablethermal energy sensor as part of a smart watch or wrist band. In anexample, a data-control component can be worn elsewhere on a person'sbody, as part of an accessory or electronically-functional clothing. Inan example, a data-control component can be part of a smart phone orother portable electronic device. In an example, data from a wearablethermal energy sensor can be used to: change the temperature of amattress over a person; change the temperature of the air, mattress,mattress, or other bedding material near a person's body; change thetemperature of air and/or other gas in communication with the surface ofthe person's body; or change the temperature of air under a mattress orother bed covering.

As shown in FIG. 81, this invention can be embodied in a system, device,and method that uses wearable technology to collect data for automaticmodification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the temperature of a flow of air from awindow-based air conditioner; and a data-control component whichcontrols the operation of the sleep-environment-modifying component inorder to automatically change the person's sleep environment based ondata from the wearable-sensor component.

More specifically, the embodiment shown in FIG. 81 comprises: wearablethermal energy sensor 8102; power source or transducer 8103;window-based air conditioner 8104; and data-control component 8105. Inan example, data-control component 8105 controls the temperature ofairflow from window-based air conditioner 8104 based on data fromwearable thermal energy sensor 8102. In an example, when data fromwearable thermal energy sensor 8102 indicates that the skin and/or bodytemperature of person 8101 is above a normal range, then this triggers alower temperature of airflow from window-based air conditioner 8104.

In an example, data from a wearable thermal energy sensor can beanalyzed to predict an future upswing in skin and/or body temperaturesuch as a hot flash. In an example, data from a wearable thermal energysensor can be analyzed along with data from other types of body sensors(such as a heart rate sensor, EMG sensor, EEG sensor, and body moisturesensor) in order to predict a temporary upswing in skin and/or bodytemperature such as a hot flash. In an example, when data from one ormore sensors indicate that an upswing in body temperature will probablyoccur soon, then this embodiment can activate a prophylactic decrease inairflow temperature in order to mitigate or avoid the effects of theupswing. In an example, when data from one or more sensors indicate thatan upswing in body temperature will probably occur soon, then thisembodiment can turn on a window-based air conditioner in order tomitigate or avoid the effects of a temperature upswing.

In an example, when a decrease in airflow temperature and/or activationof a window-based air conditioner is triggered, then this decrease oractivation can continue for a predefined period of time. In an example,when a decrease in airflow temperature and/or activation of awindow-based air conditioner is triggered, then this decrease oractivation can continue until data from a wearable thermal energy sensorindicates that a person's temperature has returned to a normal level. Inan example, a data-control component can be located as part of awindow-based air conditioner. In an example, a data-control componentcan be co-located with a wearable thermal energy sensor as part of awearable device. In an example, a data-control component can beintegrated into a cell phone or other mobile electronic device.

The left side of FIG. 81 shows this embodiment at a first point in timewherein airflow from window-based air conditioner 8104 has a firsttemperature based on a first pattern of data from wearable energy sensor8102. The right side of FIG. 81 shows this embodiment at a second pointin time wherein airflow from window-based air conditioner 8104 has asecond temperature based on a second pattern of data from wearableenergy sensor 8102. In this example, the second temperature is lowerthan the first temperature, as symbolically indicated by the transitionfrom a “sun” symbol on the left side vs. a “snowflake” symbol on theright side of FIG. 81. In this example, the first pattern of dataindicates that the skin and/or body temperature of person 8101 is nottoo high. In this example, the second pattern of data indicates that theskin and/or body temperature of person 8101 is too high.

In an example, wearable thermal energy sensor 8102 can be a thermistor.In an example, wearable thermal energy sensor 8102 can be a thermometeror other type of temperature sensor. In an example, a wearable thermalenergy sensor can be configured to be worn on a portion of a person'sbody selected from the group consisting of: finger, hand, wrist, arm,torso, waist, back, leg, ankle, foot, ear, nose, and head. In anexample, a wearable thermal energy sensor can be placed within aperson's mouth. In an example, a wearable thermal energy sensor can beincorporated into a shirt, briefs, bra, shorts, pants, sock, hat,pajamas or other garment that a person wears to bed. In an example, awearable thermal energy sensor can be incorporated into a wrist band,smart watch, or electronically-functional eyewear. In an example, datafrom a wearable thermal energy sensor can be used to automaticallychange the temperature of a flow of air from a window-based airconditioner.

FIG. 82 shows an example of how this invention can be embodied in asystem, device, and method that uses wearable technology to collect datafor automatic modification of a person's sleep environment comprising: awearable-sensor component that is configured to be worn by a person,wherein this sensor component collects data concerning the person's skintemperature and/or body temperature; a sleep-environment-modifyingcomponent which changes the temperature of a flow of air from a centralheating, ventilation, and/or air-conditioning (HVAC) system; and adata-control component which controls the operation of thesleep-environment-modifying component in order to automatically changethe person's sleep environment based on data from the wearable-sensorcomponent.

More specifically, the embodiment shown in FIG. 82 comprises: wearablethermal energy sensor 8202; power source or transducer 8203; HVACcontrol unit 8204; and HVAC vent 8205. In an example, HVAC control unit8204 controls the temperature of airflow from HVAC vent 8205 based ondata from wearable thermal energy sensor 8202. In an example, when datafrom wearable thermal energy sensor 8202 indicates that the skin and/orbody temperature of person 8201 is above a normal range, then thistriggers a lower temperature of airflow from HVAC vent 8205.

In an example, data from a wearable thermal energy sensor can beanalyzed to predict a future upswing in skin and/or body temperature,such as a hot flash. In an example, data from a wearable thermal energysensor can be analyzed along with data from other types of body sensors(such as a heart rate sensor, EMG sensor, EEG sensor, and body moisturesensor) in order to predict a temporary upswing in skin and/or bodytemperature, such as a hot flash. In an example, when data from one ormore sensors indicate that an upswing in body temperature will probablyoccur soon, then this embodiment can activate a prophylactic decrease inairflow temperature in order to mitigate or avoid the effects of theupswing. In an example, when data from one or more sensors indicate thatan upswing in body temperature will probably occur soon, then thisembodiment can activate airflow from an HVAC system in order to mitigateor avoid the effects of the upswing.

In an example, when airflow or a change in temperature of airflow froman HVAC system is triggered, then this change can continue for apredefined period of time. In an example, when airflow or a change inairflow temperature from an HVAC system is triggered, then this changecan continue until data from a wearable thermal energy sensor indicatesthat a person's temperature has returned to a normal level. In anexample, an HVAC control unit can be located on a wall. In an example,an HVAC control function can be incorporated into a wearable device. Inan example, an HVAC control function can be incorporated into a cellphone or other mobile electronic device.

The left side of FIG. 82 shows this embodiment at a first point in timewherein airflow from HVAC vent 8205 has a first temperature based on afirst pattern of data from wearable energy sensor 8202. The right sideof FIG. 82 shows this embodiment at a second point in time whereinairflow from HVAC vent 8205 has a second temperature based on a secondpattern of data from wearable energy sensor 8202. In this example, thesecond temperature is lower than the first temperature, as symbolicallyindicated by the transition from a “sun” symbol on the left side vs. a“snowflake” symbol on the right side of FIG. 82. In this example, thefirst pattern of data indicates that the skin and/or body temperature ofperson 8201 is not too high. In this example, the second pattern of dataindicates that the skin and/or body temperature of person 8201 is toohigh.

In an example, wearable thermal energy sensor 8202 can be a thermistor.In an example, wearable thermal energy sensor 8202 can be a thermometeror other type of temperature sensor. In an example, a wearable thermalenergy sensor can be located on or within a portion of a person's bodyselected from the group consisting of: finger, hand, wrist, arm, torso,waist, back, leg, ankle, foot, ear, nose, mouth, and head. In anexample, a wearable thermal energy sensor can be incorporated into ashirt, briefs, bra, shorts, pants, sock, hat, pajamas or other garmentthat a person wears to bed. In an example, a wearable thermal energysensor can be incorporated into a wrist band, smart watch, orelectronically-functional eyewear.

FIG. 83 shows an example of how this invention can be embodied in asystem for changing the temperature of air in close proximity to thebody of a sleeping person comprising: (a) a wearable attachment member8301 that is configured to be worn by a person while they sleep; (b) awearable sensor 8302 which is part of, or attached to, the wearableattachment member, wherein this wearable sensor collects data concerningthe person's current body temperature and/or data used to predict theperson's future body temperature; (c) a power source 8303 which is partof, or attached to, the wearable attachment member; (d) a wireless datatransmitter 8304 which is part of, or attached to, the attachmentmember; (e) a wireless data receiver 8305, wherein data from thewearable sensor is transmitted from the wireless data transmitter to thewireless data receiver; (f) a data processing unit 8306 which processesdata from the wearable sensor; and (g) a cooling and/or heating member8307 whose operation changes the temperature of air in close proximityto the sleeping person in response to data concerning the person'scurrent body temperature and/or data used to predict the person's futurebody temperature. In an example, close proximity can be defined as beingwithin six inches of the surface of a person's body. In an example,close proximity can be defined as being within 1 inch of a person's body

A dashed-line circle in the upper central portion of FIG. 83 shows anenlarged view of the wearable attachment member 8301 which is worn onthe right wrist of the person who is sleeping on the right side of thebed. In this example, the person on the right side of the bed is theperson about whom data concerning body temperature is being monitoredand used to decrease or increase the temperature of air in proximity totheir body. In an example, this system can comprise different deviceswhich are physically separate, but are in electromagnetic communicationwith each other. In an example, some components of this system can bephysically part of, or attached to, a wearable attachment member andother components of this system can be physically part of a separatecooling and/or heating member. In an example, components of a wearableattachment member can be in electromagnetic communication withcomponents of a cooling and/or heating member. In an example, a wearableattachment member and a cooling and/or heating member can togethercomprise a system for iterative modification of a person's sleepingenvironment.

In the example shown in FIG. 83, a wearable attachment member 8301 isworn on a person's wrist and/or forearm. In various examples, a wearableattachment member can be worn: on a wrist, forearm, hand, finger, and/orupper arm; on or around a neck; over eyes, in or around an ear, in amouth, in a nose, around a head, and/or on top of a head; on a torso,waist, and/or hip; and on a leg, ankle, and/or foot. In this example, awearable attachment member can be selected from the group consisting of:wrist band, smart watch, fitness band, sleep band, bracelet, forearmband, and wearable sleeve.

In various examples, a wearable attachment member can be selected fromthe group consisting of: adhesive patch, amulet, ankle band, anklebracelet, ankle strap, arm band, artificial finger nail, bandage, belt,bra, bracelet, cap, cardiac monitor, CPAP or other respiratory mask, earbud, ear muffs, ear plug, ear ring, ECG monitor, EEG monitor, EMGmonitor, electronically-functional tattoo, EOG monitor, eye mask, eyepatch, eyewear, finger ring, finger sleeve, fitness band, forearm band,forearm sleeve, glove, hair band, hat, headband, headphones, heartmonitor, lower body garment, necklace, pajamas, pants, shirt, sleepband, smart belt, smart watch, smart watch, sock, sternal conductancemonitor, sternal patch, torso band, underpants, undershirt, wrist band,and wrist sleeve.

In the example shown in FIG. 83, a wearable sensor 8302 is a temperaturesensor. In an example, a wearable sensor can measure core bodytemperature. In an example, a wearable sensor can measure skintemperature. In an example, a wearable sensor can be a thermistor and/orthermometer. In an example, a change in core body temperature can beassociated with a hot flash and/or help to predict a hot flash. In anexample, a change in skin temperature can be associated with a hot flashand/or help to predict a hot flash. In an example, aspecifically-identified pattern of body temperature change can beassociated with a hot flash and/or help to predict a hot flash.

In an example, a wearable sensor can be a skin conductance sensor. In anexample, a wearable sensor can be a sternal skin conductance sensor. Inan example, a wearable sensor can be a sternal skin conductance (SSC)sensor which measures the conduction of electricity through a person'sskin. In an example, an increase in skin conductance can be associatedwith a hot flash and/or help to predict a hot flash. In an example, anincrease in skin conductance which is greater than a selected amount(e.g. increase >2 micro mho) and which occurs in less than a selectedperiod of time (e.g. time period <30 seconds) can be associated with ahot flash and/or help to predict a hot flash. In an example, aspecifically-identified pattern of increased skin conductance can beassociated with a hot flash and/or help to predict a hot flash. In anexample, a wearable sensor can be a sweat sensor. In an example, awearable sensor can be a capacitance hygrometry sensor.

In an example, a wearable sensor can be an EEG sensor or otherelectromagnetic brain activity sensor. In an example, brainwaves can bemeasured and analyzed using a subset and/or combination of five clinicalfrequency bands: Delta, Theta, Alpha, Beta, and Gamma. In an example, asystem can analyze changes in brainwaves in a single frequency band,changes in brainwaves in multiple frequency bands, or changes inbrainwaves in a first frequency band relative to those in a secondfrequency band. In an example, a system can analyze repeatingelectromagnetic patterns by analyzing their frequency of repetition,their frequency band or range of repetition, their recurring amplitude,their wave phase, and/or their waveform. In an example, one or more ofthese changes in brainwaves can be associated with a hot flash and/orhelp to predict a hot flash.

In an example, a wearable sensor can be a heart rate sensor. In anexample, a wearable sensor can be an electrocardiogram (ECG) sensor. Inan example, an increase in heart rate can be associated with a hot flashand/or help to predict a hot flash. In an example, a change in pulse canbe associated with a hot flash and/or help to predict a hot flash. In anexample, a wearable sensor can be a blood pressure sensor. In anexample, a wearable sensor can measure changes in one or more pressuresselected from the group consisting of: diastolic blood pressure,systolic blood pressure, and mean arterial blood pressure. In anexample, a reduction in blood pressure can be associated with a hotflash and/or help to predict a hot flash. In an example, aspecifically-identified pattern of decreased blood pressure can beassociated with a hot flash and/or help to predict a hot flash.

In an example, a wearable sensor can be a blood flow sensor. In anexample, a wearable sensor can measure changes in blood flow in aperson's finger or forearm. In an example, a wearable sensor can be aplethysmographic sensor. In an example, a wearable sensor can measurechanges in blood flow through the brain. In an example, a wearablesensor can measure middle cerebral artery blood velocity. In an example,a reduction in blood flow through the brain can be associated with a hotflash and/or help to predict a hot flash. In an example, aspecifically-identified pattern of decreased blood flow through thebrain can be associated with a hot flash and/or help to predict a hotflash.

In an example, a wearable sensor can be a respiratory function sensor.In an example, a wearable sensor can measure respiratory effort,respiration rate, and/or nasal airflow. In an example, a change inrespiration can be associated with a hot flash and/or help to predict ahot flash. In an example, a specifically-identified pattern of change inrespiratory function can be associated with a hot flash and/or help topredict a hot flash. In an example, patterns of body motion can beassociated with a hot flash and/or help to predict a hot flash. In anexample, a wearable sensor can measure skin sympathetic nerve activity.In an example, an increase in skin sympathetic nerve activity can beassociated with a hot flash and/or help to predict a hot flash.

In an example, a wearable sensor can be a body motion sensor. In anexample, a wearable sensor can be selected from the group consisting of:accelerometer, electromagnetic bend sensor, electromyographic (EMG)sensor, gyroscope, inclinometer, inertial motion sensor, optical bendsensor, piezoelectric bend sensor, and strain gauge. In an example, datafrom one or more wearable body motion sensors can be used to identifyone or more hand gestures which control the activation and/or operationof a cooling and/or heating member. In an example, data from one or morewearable body motion sensors can be used to identify one or more bodyconfigurations and/or postures which control the activation and/andoperation of a cooling and/or heating member.

In an example, a first hand gesture or body configuration can bevoluntarily and consciously initiated by a person (when the person hasbeen aroused from sleep by a hot flash) in order to activate a coolingand/or heating member to cool air near the person. In an example, thisfirst hand gesture or body configuration can comprise a “pushing awayfrom the body” motion. In an example, a second hand gesture or bodyconfiguration can be voluntarily and consciously initiated by a person(when the person has been aroused from sleep by a hot flash) in order tostop the cooling and/or hearing member from cooling air near the person.In an example, this second hand gesture or body configuration cancomprise a “thawing toward the body” motion.

In an example, a hand gesture or body configuration (such as tossing andturning in bed) can be caused by a hot flash, even when a person isasleep and/or only partially conscious. In an example, such anunconscious or partially-conscious hand gesture or body configurationcan trigger activation of a cooling and/or heating member. In anexample, this unconscious or partially-conscious body configuration cancomprise a change (or sequence of changes) in sleeping orientation, suchas rolling from side to back, from side to front, from front to back, orvice versa.

In an example, patterns of body motion can also help to differentiatechanges in skin conductance from causes other than a hot flash. In anexample, a wearable sensor can be an eye movement sensor and/or anelectrooculography (EOG) sensor. In an example, hot flashes may be lesscommon during rapid eye movement (REM) due to a decrease inthermoregulatory effector response. In an example, data from an eyemovement sensor can increase the accuracy of hot flash prediction. In anexample, a wearable sensor can be a biochemical sensor. In an example, awearable sensor can measure changes in one or more of the followingbiochemicals: catecholamine, epinephrine, estradiol, estrone,follicle-stimulating hormone, luteinizing hormone, norepinephrine, andimmunoreactive neurotensin. In an example, a change in one or more ofthese biochemicals can be associated with a hot flash and/or help topredict a hot flash.

In an example, a wearable sensor can be a thermal energy sensor. In anexample, a wearable sensor can be selected from the group consisting of:core body temperature sensor, skin temperature sensor, thermistor, andthermometer. In an example, a sensor can be an electromagnetic energysensor. In an example, a wearable sensor can be selected from the groupconsisting of: action potential sensor, capacitance hygrometry sensor,conductivity sensor, electrocardiogram (ECG) sensor,electroencephalography (EEG) sensor, electrogastrographic monitor,electromagnetic brain activity sensor, electromyography (EMG) sensor,electrooculography (EOG) sensor, galvanic skin response (GSR) sensor,Hall-effect sensor, humidity sensor, impedance sensor, magnetic fieldsensor, magnetometer, muscle function monitor, neural impulse monitor,neurosensor, piezocapacitive sensor, piezoelectric sensor,piezoresistive sensor, REM sensor, resistance sensor, RF sensor, skinconductance sensor, sternal skin conductance (SSC) sensor, sweat sensor,sympathetic nerve activity sensor, tissue impedance sensor, variableimpedance sensor, variable resistance sensor, and voltmeter.

In an example, a wearable sensor can be a light energy sensor. In anexample, a wearable sensor can be selected from the group consisting of:analytical chromatography sensor, backscattering spectrometry sensor,camera, chemiluminescence sensor, chromatography sensor, infrared lightsensor, infrared spectroscopy sensor, laser sensor, light intensitysensor, light-spectrum-analyzing sensor, mass spectrometry sensor,near-infrared spectroscopy sensor, optical sensor, optical sensor,optoelectronic sensor, photoelectric sensor, photoplethysmographicsensor, spectral analysis sensor, spectrometry sensor, spectrophotometersensor, spectroscopic sensor, ultraviolet light sensor, ultravioletspectroscopy sensor, variable-translucence sensor.

In an example, a wearable sensor can be a circulatory system sensor. Inan example, a wearable sensor can be selected from the group consistingof: blood flow sensor, blood pressure sensor, brain blood flow sensor,heart rate sensor, mean arterial blood pressure sensor, middle cerebralartery blood velocity sensor, pulse sensor, and systolic blood pressuresensor. In an example, a wearable sensor can be a motion sensor. In anexample, a wearable sensor can be selected from the group consisting of:body motion sensor, eye movement sensor, inertial motion sensor,plethysmographic sensor, and pressure sensor. In an example, a wearablesensor can be a biochemical sensor. In an example, a wearable sensor canbe selected from the group consisting of: biochemical sensor,epinephrine sensor, estradiol sensor, follicle-stimulating hormone (FSH)sensor, immunoreactive neurotensin sensor, luteinizing hormone (LH)sensor, and norepinephrine sensor. In an example, a wearable sensor canbe selected from the group consisting of: airflow sensor, respirationrate sensor, and respiratory function sensor.

In an example, a wearable sensor can be in electromagnetic communicationwith a person's skin. In an example, a wearable sensor can measure skinconductivity or impedance. In an example, a wearable sensor can measureelectromagnetic energy which is emitted from a person's nerves and/ormuscles. In an example, a wearable sensor can measure the spectrum oflight which is reflected from, or passed through, a person's tissue. Inan example, a wearable sensor can be a vasoconstriction sensor. In anexample, a wearable sensor can be in gaseous communication with aperson's skin. In an example, a sensor can collect data concerning thechemical content of gaseous emissions from a person's skin. In anexample, a wearable sensor can be in fluid communication with a person'sskin. In an example, a sensor can collect data concerning the chemicalcontent of fluid emissions from a person's skin. In an example, awearable sensor can be sound energy sensor.

In an example, this system can comprise two or more different types ofwearable sensors. In an example, multivariate analysis of data from twoor more different types of sensors can detect and/or predict hot flasheswith a higher level of accuracy than data from only one type of wearablesensor. In an example, the statistical interaction of two or morephysiological variables, measured by two or more different types ofsensors, can detect and/or predict hot flashes more accurately thaneither of the physiological variables alone. In an example, multivariateanalysis of skin conductance level and core body temperature can predicta hot flash more accurately than analysis of either of these metricsalone.

In an example, this system can comprise one of the following pairs ofwearable sensors: body temperature sensor and skin conductance sensor,body temperature sensor and EEG sensor, body temperature sensor andheart rate sensor, body temperature sensor and blood pressure sensor,body temperature sensor and blood flow sensor, body temperature sensorand body motion sensor, body temperature sensor and respiratory functionsensor, skin conductance sensor and eye movement sensor, skinconductance sensor and biochemical sensor, skin conductance sensor andneurosensor, skin conductance sensor and EEG sensor, skin conductancesensor and heart rate sensor, and skin conductance sensor and bloodpressure sensor.

In an example, this system can comprise one of the following pairs ofwearable sensors: EEG sensor and blood flow sensor, EEG sensor and bodymotion sensor, EEG sensor and respiratory function sensor, EEG sensorand eye movement sensor, EEG sensor and biochemical sensor, EEG sensorand neurosensor, heart rate sensor and EEG sensor, heart rate sensor andblood pressure sensor, heart rate sensor and blood flow sensor, heartrate sensor and body motion sensor, heart rate sensor and respiratoryfunction sensor, heart rate sensor and eye movement sensor, and heartrate sensor and biochemical sensor.

In an example, this system can comprise one of the following pairs ofwearable sensors: blood pressure sensor and neurosensor, blood pressuresensor and EEG sensor, blood pressure sensor and blood flow sensor,blood pressure sensor and body motion sensor, blood flow sensor andrespiratory function sensor, blood flow sensor and eye movement sensor,blood flow sensor and biochemical sensor, blood flow sensor andneurosensor, and blood flow sensor and skin conductance sensor. In anexample, this system can comprise one of the following pairs of wearablesensors: body motion sensor and blood pressure sensor, body motionsensor and blood flow sensor, body motion sensor and respiratoryfunction sensor, body motion sensor and eye movement sensor, body motionsensor and biochemical sensor, body motion sensor and neurosensor,respiratory function sensor and skin conductance sensor, respiratoryfunction sensor and heart rate sensor, respiratory function sensor andblood pressure sensor, respiratory function sensor and blood flowsensor, respiratory function sensor and body motion sensor, andrespiratory function sensor and eye movement sensor.

In an example, this system can comprise one of the following pairs ofwearable sensors: eye movement sensor and biochemical sensor, eyemovement sensor and neurosensor, eye movement sensor and bodytemperature sensor, eye movement sensor and EEG sensor, eye movementsensor and heart rate sensor, eye movement sensor and blood pressuresensor, and eye movement sensor and blood flow sensor. In an example,this system can comprise one of the following pairs of wearable sensors:biochemical sensor and body motion sensor, biochemical sensor andrespiratory function sensor, biochemical sensor and eye movement sensor,biochemical sensor and neurosensor, biochemical sensor and bodytemperature sensor, neurosensor and heart rate sensor, neurosensor andblood pressure sensor, neurosensor and blood flow sensor, neurosensorand body motion sensor, neurosensor and respiratory function sensor,neurosensor and eye movement sensor, and neurosensor and biochemicalsensor.

In an example, demographic and health-related characteristics of theperson wearing the device can be incorporated into a multivariatestatistical model to detect and/or predict the occurrence of a hotflash. In an example, these demographic and health-relatedcharacteristics can be selected from the group consisting of: age,alcohol use, anxiety level, body mass index (BMI), caffeine use,education level, gender, height, hours of sleep, menopausal status,nicotine use, nutritional profile, physical activity level,race/ethnicity, stress level, tobacco use, and weight. In an example,characteristics of the person's local environment can be incorporatedinto a multivariate statistical model to detect and/or predict theoccurrence of a hot flash. In an example, these environmentalcharacteristics can be selected from the group consisting of: ambienthumidity level, ambient light level, ambient sound level, ambienttemperature, location, and time of day.

In the example shown in FIG. 83, power source 8303 is a rechargeablebattery. In an example, a power source can be selected from the groupconsisting of: a rechargeable or replaceable battery; an energyharvesting member which harvests, transduces, or generates energy frombody motion or kinetic energy, body thermal energy, or body biochemicalenergy; an energy harvesting member which harvests, transduces, orgenerates energy from ambient light energy or ambient electromagneticenergy.

In the example shown in FIG. 83, cooling and/or heating member 8307 isan intra-room cooling and/or heating member. An intra-room coolingand/or heating member is located entirely within the room in which theperson wearing the device is sleeping. In an example, an intra-roomcooling and/or heating member can be a heat pump, heat exchanger, airconditioner, electric blanket, electric pad, electric mattress, electricroom heater, or combustion-based room heater within the room in which aperson is sleeping. In an example, an intra-room cooling and/or heatingmember can comprise one or more components selected from the groupconsisting of: compressor; heat exchanger or heat pump; air fan, blower,turbine, or impellor; air circulation pathway; liquid fan, blower,turbine, or impellor; liquid circulation pathway; electric heatingcoils; combustible substance reservoir; ice reservoir and/or compartmentto contain ice; wireless data receiver; wireless data transmitter; anddata processor.

In an example, an intra-room cooling and/or heating member can cool airthat is in close proximity to a person's body when an increase in bodytemperature is detected and/or predicted based on analysis of data froma wearable sensor worn by the person. In an example, an intra-roomcooling and/or heating member can cool air in proximity to a sleepingperson by transferring thermal energy between locations within the roomin which the person is sleeping.

In an example, an intra-room cooling and/or heating member can cool airin proximity to a sleeping person by: (a) extracting thermal energy froma portion of air in the room using a compressor, heat pump, and/or heatexchanger, thereby cooling that portion of air (b) transferring theextracted thermal energy to a location in the room that is distal to theperson, and (c) sending (and/or circulating) the cooled air in proximityto the person. In an example, an intra-room cooling and/or heatingmember can cool air in proximity to a sleeping person by: (a) extractingthermal energy from a liquid using a compressor, heat pump, and/or heatexchanger, thereby cooling that liquid (b) transferring the extractedthermal energy to a location in the room that is distal to the person,and (c) sending (or circulating) the cooled liquid in proximity to theperson. In an example, “distal to the person” can be defined as beingmore than six foot away from the person. In an example, “distal to theperson” can be defined as being more than one foot away from the person.

In an example, an intra-room cooling and/or heating member can cool airin proximity to a sleeping person using an intra-room ice reservoir. Inan example, the system can send (or circulate) air or liquid throughchannels which are in thermal communication with ice within an icereservoir. This cools the air or liquid, which is then sent (orcirculated) in proximity to the sleeping person. In an example, thesystem can include a closable ice reservoir which a person fills withice before going to sleep. Since the ice reservoir can be closed,moisture from the melting ice does not increase the humidity of air inthe room. One advantage of using an ice reservoir in an intra-roomcooling and/or heating member for cooling is that there is net decreasein the total thermal energy in the room when ice is brought into theroom at the beginning of the night.

In an example, an intra-room cooling and/or heating member can send (orcirculate) cooled air between a bed covering (such as an upper sheet orblanket) which is over the sleeping person and a sleeping surface (suchas a lower sheet, mattress pad, or mattress) which is below the sleepingperson. In a two-person bed, the system can be configured to selectivelysend (or circulate) cooled air only on the side of the bed where theperson wearing the device is sleeping. In an example, the system canautomatically detect which on side of the bed this person is sleepingand selectively cool that side of the bed. In an example, selectivecooling of only one side a bed can be accomplished by selecting sendingair through a subset of air pathways, channels, or vents.

In an example, an intra-room cooling and/or heating member can send (orcirculate) cooled liquid through channels in a bed covering (such as anupper sheet or blanket) which is over the sleeping person or throughchannels in a sleeping surface (such as a lower sheet, mattress pad, ormattress) which is below the sleeping person. In a two-person bed, thesystem can be configured to selectively send (or circulate) cooledliquid only on the side of the bed where the person wearing the deviceis sleeping. In an example, the system can automatically detect which onside of the bed this person is sleeping and selectively cool that sideof the bed. In an example, selective cooling of only one side a bed canbe accomplished by selecting sending liquid through a subset of liquidchannels.

In an example, an intra-room cooling and/or heating member can heat airthat is in close proximity to a person's body when a decrease in bodytemperature is detected and/or predicted based on analysis of data froma wearable sensor worn by the person. In an example, an intra-roomcooling and/or heating member can heat air in proximity to a sleepingperson by transferring thermal energy between locations within the roomin which the person is sleeping.

In an example, an intra-room cooling and/or heating member can heat airin proximity to a sleeping person by: (a) extracting thermal energy froma location in the room that is distal to the person using a compressor,heat pump, and/or heat exchanger; (b) transferring the extracted thermalenergy to a portion of air in the room; (c) and sending (and/orcirculating) the heated air in proximity to the person. In an example,an intra-room cooling and/or heating member can heat air in proximity toa sleeping person by: (a) extracting thermal energy from a location inthe room that is distal to the person using a compressor, heat pump,and/or heat exchanger; (b) transferring the extracted thermal energy toa liquid; (c) and sending (and/or circulating) the heated liquid inproximity to the person.

In an example, an intra-room cooling and/or heating member can send (orcirculate) heated air between a bed covering (such as an upper sheet orblanket) which is over the sleeping person and a sleeping surface (suchas a lower sheet, mattress pad, or mattress) which is below the sleepingperson. In a two-person bed, the system can be configured to selectivelysend (or circulate) heated air only on the side of the bed where theperson wearing the device is sleeping. In an example, the system canautomatically detect which on side of the bed this person is sleepingand selectively heat that side of the bed. In an example, selectivecooling of only one side a bed can be accomplished by selecting sendingair through a subset of air pathways, channels, or vents.

In an example, an intra-room cooling and/or heating member can send (orcirculate) heated liquid through channels in a bed covering (such as anupper sheet or blanket) which is over the sleeping person or throughchannels in a sleeping surface (such as a lower sheet, mattress pad, ormattress) which is below the sleeping person. In a two-person bed, thesystem can be configured to selectively send (or circulate) heatedliquid only on the side of the bed where the person wearing the deviceis sleeping. In an example, the system can automatically detect which onside of the bed this person is sleeping and selectively heat that sideof the bed. In an example, selective cooling of only one side a bed canbe accomplished by selecting sending liquid through a subset of liquidchannels.

In an example, an intra-room cooling and/or heating member can heat airin proximity to a sleeping person by generating heat by electricalresistance and/or combustion, instead of (or in addition to)transferring thermal energy between locations within the room in which aperson is sleeping. In an example, an intra-room cooling and/or heatingmember can be selected from the group consisting of: an electricblanket, an electric heating pad, an electric mattress, anelectrically-heated water bed, an electric room heater, an electricspace heater, a electric baseboard heater, and a combustion-based roomheater. In an example, in a two-person bed, a system can be configuredto selectively and/or primarily heat the side of the bed wherein theperson with the wearable sensor is sleeping.

In various general examples which can also include exo-room (e.g. windowmounted) systems and building-wide (e.g. central HVAC) systems, acooling and/or heating member can be selected from the group consistingof: air-cooled garment, central air conditioning unit, central boiler,central furnace, central heating unit, central HVAC system,combustion-based room heater, electric baseboard heater, electricblanket, electric mattress, electric room heater, gas fireplace, heatexchanger, heat pump, heated and/or cooled blanket, heated and/or cooledmattress, heated and/or cooled water bed, heated garment, heating pad,intra-room air conditioner, intra-room heat pump and/or exchanger,liquid-cooled garment, room radiator, smart home environmental controlsystem, space heater, thermally-controlled water bed, and window-mountedair conditioner.

In an example, a cooling and/or heating member can cool air in closeproximity to a person's body when data from a wearable sensor indicatesthat that the person's body temperature is above a selected temperaturelevel. In an example, a cooling and/or heating member can cool air inclose proximity to the person's body when data from the wearable sensorindicates that that the person is having a hot flash. In an example, acooling and/or heating member can circulate cool air between a bed cover(such as a blanket or upper sheet) and a sleeping surface (such as alower sheet, mattress pad, or mattress) when data from a wearable sensorindicates that that the person's body temperature is above the selectedtemperature level.

In an example, a cooling and/or heating member can proactively cool airin close proximity to the person's body when statistical analysis ofdata from the wearable sensor predicts that the person's bodytemperature is likely to increase soon. In an example, a cooling and/orheating member can proactively cool air in close proximity to theperson's body when statistical analysis of data from the wearable sensorpredicts that the person is likely to have a hot flash soon. In anexample, a cooling and/or heating member can circulate cool air betweena bed cover (such as a blanket or upper sheet) and a sleeping surface(such as a lower sheet, mattress pad, or mattress) when statisticalanalysis of data from a wearable sensor predicts that that the person'sbody temperature is likely to increase soon.

In an example, a cooling and/or heating member can heat air in closeproximity to the person's body when data from the wearable sensorindicates that that the person's body temperature is below a selectedtemperature level. In an example, a cooling and/or heating member cancirculate warm air between a bed cover (such as a blanket or uppersheet) and a sleeping surface (such as a lower sheet, mattress pad, ormattress) when data from a wearable sensor indicates that that theperson's body temperature is below the selected temperature level.

In an example, a cooling and/or heating member can proactively heat airin close proximity to a person's body when statistical analysis of datafrom a wearable sensor predicts that the person's body temperature islikely to decrease soon. In an example, a cooling and/or heating membercan proactively heat air in close proximity to the person's body whenstatistical analysis of data from the wearable sensor predicts that theperson is likely to have a chill soon. In an example, a cooling and/orheating member can circulate warm air between a bed cover (such as ablanket or upper sheet) and a sleeping surface (such as a lower sheet,mattress pad, or mattress) when statistical analysis of data from awearable sensor predicts that that the person's body temperature islikely to decrease soon.

In an example, data from one or more wearable sensors can be analyzedusing multivariate statistical methods in order to detect and/or predicta change in a person's body temperature. In an example, data from one ormore wearable sensors can be analyzed using multivariate statisticalmethods in order to detect and/or predict a hot flash. In an example, afirst set of parameters concerning the cooling and/or heating of air inclose proximity to a sleeping person can be controlled based on a secondset of parameters concerning statistical analysis of data from one ormore wearable sensors. In an example, the first set of parameters can beselected from the group consisting of: duration of cooling and/orheating; thermal transfer rate in cooling and/or heating; flow rate forthe flow of air or liquid; target temperature for air or liquid; andtarget temperature for skin and/or body temperature. In an example, thesecond set of parameters can be selected from the group consisting of:value of a metric measured by a wearable sensor at a given point intime; change in value in a metric measured by a wearable sensor during aspan of time; rate of increase in a metric measured by a wearable sensorduring a span of time; pattern of increase in a metric measured by awearable sensor during a span of time; interaction between two metricsmeasured by two different types of wearable sensors; interaction betweena metric measured by a wearable sensor and other characteristics of thesleeping person; and interaction between a metric measured by a wearablesensor and local environmental characteristics.

In an example, this invention can be embodied in a system and/or methodfor controlling the temperature of air near a sleeping person based on ametric measured by a sensor worn by that person. In an example, thismetric can be selected from the group consisting of: skin temperature,core body temperature, skin conductance, skin impedance, and strength ofbrainwaves in a selected frequency range.

In an example, a cooling and/or heating member can be triggered to startcooling and/or heating air near a sleeping person when a metric measuredby a sensor worn by that person has a value which is less than aselected minimum value or is greater than a selected maximum value. Inan example, a cooling and/or heating member can be triggered to startcooling and/or heating air near a sleeping person when a multivariatefunction of metrics measured by two or more wearable sensors has a valuewhich is less than a selected minimum value or is greater than aselected maximum value.

In an example, a cooling and/or heating member can be triggered to startcooling and/or heating air near a sleeping person when a metric measuredby a sensor worn by that person changes by more than a minimum changevalue during a selected amount of time. In an example, a cooling and/orheating member can be triggered to start cooling and/or heating air neara sleeping person when a multivariate function of metrics measured bytwo or more wearable sensors changes by more than a minimum change valueduring a selected amount of time.

In an example, a cooling and/or heating member can be triggered to startcooling and/or heating air near a sleeping person when the rate ofchange of a metric measured by a sensor worn by that person has a valuewhich is greater than a selected maximum rate. In an example, a coolingand/or heating member can be triggered to start cooling and/or heatingair near a sleeping person when the rate of change of a multivariatefunction of metrics measured by two or more wearable sensors has a valuewhich is greater than a selected maximum rate.

In an example, a cooling and/or heating member can be triggered to startcooling and/or heating air near a sleeping person when a metric measuredby a sensor worn by that person varies in a pre-identified patternduring a selected amount of time. In an example, a cooling and/orheating member can be triggered to start cooling and/or heating air neara sleeping person when a multivariate function of metrics measured bytwo or more wearable sensors varies in a pre-identified pattern during aselected amount of time.

In an example, a cooling and/or heating member can be triggered to startcooling and/or heating air near a sleeping person when a metric measuredby a sensor worn by that person varies in a pre-identified wave patternduring a selected amount of time. In an example, a cooling and/orheating member can be triggered to start cooling and/or heating air neara sleeping person when a multivariate function of metrics measured bytwo or more wearable sensors varies in a pre-identified wave patternduring a selected amount of time.

In an example, a cooling and/or heating member can be triggered to stopcooling and/or heating air near a sleeping person when a metric measuredby a sensor worn by that person has a value which is greater than aselected minimum value or is less than a selected maximum value. In anexample, a cooling and/or heating member can be triggered to stopcooling and/or heating air near a sleeping person when a multivariatefunction of metrics measured by two or more wearable sensors has a valuewhich is greater than a selected minimum value or is less than aselected maximum value.

In an example, a cooling and/or heating member can be triggered to stopcooling and/or heating air near a sleeping person when the rate ofchange of a metric measured by a sensor worn by that person has a valuewhich is less than a selected maximum rate. In an example, a coolingand/or heating member can be triggered to stop cooling and/or heatingair near a sleeping person when the rate of change of a multivariatefunction of metrics measured by two or more wearable sensors has a valuewhich is less than a selected maximum rate.

In an example, a cooling and/or heating member can be triggered to stopcooling and/or heating air near a sleeping person when a metric measuredby a sensor worn by that person varies in a pre-identified patternduring a selected amount of time. In an example, a cooling and/orheating member can be triggered to stop cooling and/or heating air neara sleeping person when a multivariate function of metrics measured bytwo or more wearable sensors varies in a pre-identified pattern during aselected amount of time.

In an example, a cooling and/or heating member can be triggered to stopcooling and/or heating air near a sleeping person after a selectedamount of time. In an example, this amount of time can depend on thevalues of one or more metrics measured by sensors worn by the person. Inan example, this amount of time can depend on the amounts by which oneor more metrics were lower than a selected minimum value or greater thana selected maximum value when a cooling and/or heating member wastriggered to start cooling and/or heating.

In an example, data from one or more wearable sensors can be analyzedusing one or more statistical methods selected from the group consistingof: multivariate linear regression; least squares estimation; factoranalysis; Fourier Transformation; mean; median; multivariate logit;principal components analysis; spline function; auto-regression;centroid analysis; correlation; covariance; decision tree analysis;Kalman filter; Lapsang analysis; linear discriminant analysis; lineartransform; logarithmic function; logit analysis; Markov model;multivariate parametric classifiers; non-linear programming; orthogonaltransformation; pattern recognition; random forest analysis;spectroscopic analysis; variance; artificial neural network; Bayesianfilter or other Bayesian statistical method; chi-squared; eigenvaluedecomposition; logit model; machine learning; power spectral density;power spectrum analysis; probit model; support vector machine; andtime-series analysis.

FIG. 84 shows another example of how this invention can be embodied in asystem for changing the temperature of air in close proximity to thebody of a sleeping person. This example is similar to the one shown inFIG. 83, except that the cooling and/or heating member is an exo-roomcooling and/or heating member instead of an intra-room cooling and/orheating member. For example, instead of an intra-room cooling and/orheating member which transfers thermal energy between air proximal tothe person and another location in the room, an exo-room cooling and/orheating member transfers thermal energy between air proximal to theperson and a location outside the room. In this example, an exo-roomcooling and/or heating member comprises a window-mounted airconditioner. As was the case in FIG. 83, a dashed-line circle in theupper central portion of FIG. 84 shows an enlarged view of a wearableattachment member which is worn on a person's wrist.

Specifically, FIG. 84 shows an example of how this invention can beembodied in a system for changing the temperature of air in closeproximity to the body of a sleeping person comprising: (a) a wearableattachment member 8401 that is configured to be worn by a person whilethey sleep; (b) a wearable sensor 8402 which is part of, or attached to,the wearable attachment member, wherein this wearable sensor collectsdata concerning the person's current body temperature and/or data usedto predict the person's future body temperature; (c) a power source 8403which is part of, or attached to, the wearable attachment member; (d) awireless data transmitter 8404 which is part of, or attached to, theattachment member; (e) a wireless data receiver 8405, wherein data fromthe wearable sensor is transmitted from the wireless data transmitter tothe wireless data receiver; (f) a data processing unit 8406 whichprocesses data from the wearable sensor; and (g) a cooling and/orheating member 8407 whose operation changes the temperature of air inclose proximity to the sleeping person in response to data concerningthe person's current body temperature and/or data used to predict theperson's future body temperature. The various examples of a wearableattachment member, a wearable sensor, a power source, and multivariatestatistical analysis of sensor data which were discussed concerning theexample shown in FIG. 83 can also apply to the example shown here inFIG. 84.

In the example shown in FIG. 84, cooling and/or heating member 8407 isan exo-room cooling and/or heating member. An exo-room cooling and/orheating member includes a component which is in thermal communicationwith a location outside the room in which a person is sleeping. This canbe particularly advantageous for cooling air near the sleeping personbecause thermal energy from air near the person can be transferredoutside the room instead of within the room. This makes it easier tokeep the air around the person cool because it does not heat thesurrounding air in the room. In the example shown here in FIG. 84, anexo-room cooling and/or heating member comprises a window-mounted airconditioner. Alternatively, as will be shown in a subsequent figure, anexo-room cooling and/or heating member can be a building-wide coolingand/or heating member. In an example, a building-wide cooling and/orheating member can be a central HVAC (heating, ventilation, and airconditioning) system.

In an example, an exo-room cooling and/or heating member can be a heatpump, heat exchanger, and/or air conditioner which is in thermalcommunication with a location outside a room in which a person issleeping. In an example, an exo-room cooling and/or heating member cancomprise one or more components selected from the group consisting of:compressor; heat exchanger or heat pump; air fan, blower, turbine, orimpellor; air circulation pathway; liquid fan, blower, turbine, orimpellor; liquid circulation pathway; wireless data receiver; wirelessdata transmitter; and data processor.

In an example, an exo-room cooling and/or heating member can cool airthat is in close proximity to a person's body when an increase in bodytemperature is detected and/or predicted based on analysis of data froma wearable sensor worn by the person. In an example, an exo-room coolingand/or heating member can cool air close to a sleeping person bytransferring thermal energy between that air and a location outside theroom in which the person is sleeping. In an example, an exo-room coolingand/or heating member can cool air in proximity to a sleeping person by:(a) extracting thermal energy from air within (or outside) a room usinga compressor, heat pump, and/or heat exchanger, thereby cooling thatair; (b) transferring the extracted thermal energy to a location outsidethe room; and then (c) sending (and/or circulating) the cooled air inproximity to the person. In an example, an exo-room cooling and/orheating member can cool air in proximity to a sleeping person by: (a)extracting thermal energy from a liquid using a compressor, heat pump,and/or heat exchanger, thereby cooling that liquid; (b) transferring theextracted thermal energy to a location outside the room; and then (c)sending (and/or circulating) the cooled liquid in proximity to theperson.

In an example, an exo-room cooling and/or heating member can send (orcirculate) cooled air between a bed covering (such as an upper sheet orblanket) which is over a sleeping person and a sleeping surface (such asa lower sheet, mattress pad, or mattress) which is below the sleepingperson. In a two-person bed, the system can be configured to selectivelysend (or circulate) cooled air only on the side of the bed where theperson wearing the device is sleeping. In an example, the system canautomatically detect which on side of the bed this person is sleepingand selectively cool that side of the bed. In an example, selectivecooling of only one side a bed can be accomplished by selecting sendingair through a subset of air pathways, channels, or vents.

In an example, an exo-room cooling and/or heating member can send (orcirculate) cooled liquid through channels in a bed covering (such as anupper sheet or blanket) which is over a sleeping person or throughchannels in a sleeping surface (such as a lower sheet, mattress pad, ormattress) which is below the sleeping person. In a two-person bed, thesystem can be configured to selectively send (or circulate) cooledliquid only on the side of the bed where the person wearing the deviceis sleeping. In an example, the system can automatically detect which onside of the bed this person is sleeping and selectively cool that sideof the bed. In an example, selective cooling of only one side a bed canbe accomplished by selecting sending liquid through a subset of liquidchannels.

In an example, an exo-room cooling and/or heating member can heat airthat is in close proximity to a person's body when a decrease in bodytemperature is detected and/or predicted based on analysis of data froma wearable sensor worn by the person. In an example, an exo-room coolingand/or heating member can heat air close to a sleeping person bytransferring thermal energy between that air and a location outside theroom in which the person is sleeping. In an example, an exo-room coolingand/or heating member can heat air in proximity to a sleeping person by:(a) extracting thermal energy from a location outside the room using acompressor, heat pump, and/or heat exchanger; (b) transferring theextracted thermal energy to air; and then (c) sending (and/orcirculating) the heated air in proximity to the person. In an example,an exo-room cooling and/or heating member can heat air in proximity to asleeping person by: (a) extracting thermal energy from a locationoutside the room using a compressor, heat pump, and/or heat exchanger;(b) transferring the extracted thermal energy to a liquid; and then (c)sending (and/or circulating) the heated liquid in proximity to theperson.

In an example, an exo-room cooling and/or heating member can send (orcirculate) heated air between a bed covering (such as an upper sheet orblanket) which is over a sleeping person and a sleeping surface (such asa lower sheet, mattress pad, or mattress) which is below the sleepingperson. In a two-person bed, the system can be configured to selectivelysend (or circulate) heated air only on the side of the bed where theperson wearing the device is sleeping. In an example, the system canautomatically detect which on side of the bed this person is sleepingand selectively heat that side of the bed. In an example, selectiveheating of only one side a bed can be accomplished by selecting sendingair through a subset of air pathways, channels, or vents.

In an example, an exo-room cooling and/or heating member can send (orcirculate) heated liquid through channels in a bed covering (such as anupper sheet or blanket) which is over a sleeping person or throughchannels in a sleeping surface (such as a lower sheet, mattress pad, ormattress) which is below the sleeping person. In a two-person bed, thesystem can be configured to selectively send (or circulate) heatedliquid only on the side of the bed where the person wearing the deviceis sleeping. In an example, the system can automatically detect which onside of the bed this person is sleeping and selectively heat that sideof the bed. In an example, selective heating of only one side a bed canbe accomplished by selecting sending liquid through a subset of liquidchannels.

In various general examples which can also include a building-wide (e.g.central HVAC) system, a cooling and/or heating member can be selectedfrom the group consisting of: air-cooled garment, central airconditioning unit, central boiler, central furnace, central heatingunit, central HVAC system, combustion-based room heater, electricbaseboard heater, electric blanket, electric mattress, electric roomheater, gas fireplace, heat exchanger, heat pump, heated and/or cooledblanket, heated and/or cooled mattress, heated and/or cooled water bed,heated garment, heating pad, exo-room air conditioner, exo-room heatpump and/or exchanger, liquid-cooled garment, room radiator, smart homeenvironmental control system, space heater, thermally-controlled waterbed, and window-mounted air conditioner. Relevant example variationsfrom other figures discussed herein can also be applied to the examplewhich is shown in FIG. 84.

FIG. 85 shows another example of how this invention can be embodied in asystem for changing the temperature of air in close proximity to thebody of a sleeping person. This example is similar to the one shown inFIG. 84, except that the cooling and/or heating member is abuilding-wide system. In this example, the cooling and/or heating membercomprises a central heating, ventilation, and air conditioning (HVAC)system. In this example, there is a room-specific environmental controlunit which is part of the central HVAC system. The wearable device wornby the sleeping person is in electronic communication with this controlunit. As was the case in FIG. 84, a dashed-line circle in the uppercentral portion of FIG. 85 shows an enlarged view of a wearableattachment member which is worn on a person's wrist.

Specifically, FIG. 85 shows an example of how this invention can beembodied in a system for changing the temperature of air in closeproximity to the body of a sleeping person comprising: (a) a wearableattachment member 8501 that is configured to be worn by a person whilethey sleep; (b) a wearable sensor 8502 which is part of, or attached to,the wearable attachment member, wherein this wearable sensor collectsdata concerning the person's current body temperature and/or data usedto predict the person's future body temperature; (c) a power source 8503which is part of, or attached to, the wearable attachment member; (d) awireless data transmitter 8504 which is part of, or attached to, theattachment member; (e) a wireless data receiver 8505, wherein data fromthe wearable sensor is transmitted from the wireless data transmitter tothe wireless data receiver; (f) a data processing unit 8506 whichprocesses data from the wearable sensor; and (g) a cooling and/orheating member 8507 whose operation changes the temperature of air inclose proximity to the sleeping person in response to data concerningthe person's current body temperature and/or data used to predict theperson's future body temperature.

The various examples of a wearable attachment member, a wearable sensor,a power source, multivariate statistical analysis of sensor data,cooling and/or heating member components, and air and/or liquidcirculation methods which were discussed concerning the examples shownin FIGS. 83 and 84 can also apply to the example shown here in FIG. 85.In an example, data from wearable sensor 8502 can be sent from wirelessdata transmitter 8504 to wireless data receiver 8505 which is part of aroom-specific environmental control unit. In an example, when analysisof this data indicates that body temperature of the sleeping person ischanging or predicts that the body temperature of the sleeping personwill change soon, then the room-specific environmental control unitchanges the operation of a central HVAC system to change the temperatureof air circulated through the room. In an alternative example, aroom-specific environmental control unit can trigger a central HVACsystem to change the temperature of air or liquid circulated through anupper bed covering (such as a blanket or upper sheet), lower sleepingsurface (such as a lower sheet, mattress pad, or mattress), or betweenan upper bed covering and lower sleeping surface. Relevant examplevariations from other figures discussed herein can also be applied tothe example which is shown in FIG. 85.

FIG. 86 shows an example of how this invention can be embodied in asystem for changing the flow of air in close proximity to the body of asleeping person. This example is similar to the one shown in FIG. 83,except that it includes an airflow-accelerating member which changes theflow of air near a person instead of a cooling and/or heating memberwhich changes the temperature of air near a person. In this example, anairflow-accelerating member is a portable fan. In an example, anairflow-accelerating member can be selected from the group consistingof: portable fan, window fan, floor fan, room fan, bed fan, ceiling fan,and central HVAC fan. In an example, an airflow-accelerating member canchange one or more aspects of airflow selected from the group consistingof: airflow speed, airflow volume; airflow pathway; airflow direction;airflow pressure; airflow composition; and airflow source. As was thecase in FIG. 83, a dashed-line circle in the upper central portion ofFIG. 86 shows an enlarged view of a wearable attachment member which isworn on a person's wrist.

Specifically, FIG. 86 shows an example of how this invention can beembodied in a system for changing airflow near a sleeping personcomprising: (a) a wearable attachment member 8601 that is configured tobe worn by a person while they sleep; (b) a wearable sensor 8602 whichis part of, or attached to, the wearable attachment member, wherein thiswearable sensor collects data concerning the person's current bodytemperature and/or data used to predict the person's future bodytemperature; (c) a power source 8603 which is part of, or attached to,the wearable attachment member; (d) a wireless data transmitter 8604which is part of, or attached to, the attachment member; (e) a wirelessdata receiver 8605, wherein data from the wearable sensor is transmittedfrom the wireless data transmitter to the wireless data receiver; (f) adata processing unit 8606 which processes data from the wearable sensor;and (g) an airflow-accelerating member 8607 whose operation changesairflow near the sleeping person in response to data concerning theperson's current body temperature and/or data used to predict theperson's future body temperature. The various examples of a wearableattachment member, a wearable sensor, a power source, and multivariatestatistical analysis of sensor data which were discussed concerning theexample shown in FIG. 83 can also apply to the example shown here inFIG. 86.

In this example, airflow-accelerating member 8607 is a portable fanwhich whose outbound airflow is directed toward the sleeping person. Inan example, an airflow-accelerating member can be selected from thegroup consisting of: portable fan, window fan, floor fan, room fan, bedfan, packers fan, ceiling fan, and central HVAC fan. In an example, anairflow-accelerating member can change one or more aspects of airflownear sleeping person which are selected from the group consisting of:airflow speed, airflow volume; airflow pathway; airflow direction;airflow pressure; airflow composition; and airflow source. In anexample, airflow near the sleeping person can be changed in response todata from a wearable sensor by simply turning the airflow-acceleratingmember on or off. In an example, airflow near the sleeping person can bechanged in response to data from the wearable sensor by changing therotational speed of an airflow-accelerating member. In an example,airflow near the sleeping person can be changed in response to data fromthe wearable sensor by changing the direction of outbound airflow froman airflow-accelerating member.

In another example, an airflow-accelerating member can direct (orcirculate) air through a bed. In an example, an airflow-acceleratingmember can direct air through an upper bed covering (such as a blanketor upper sheet), through a lower sleeping surface (such as a lowersheet, mattress pad, or mattress), between an upper bed covering and alower sleeping surface. In an example, the speed, volume, pathway,direction, pressure, and/or composition of airflow between an upper bedcovering and a lower sleeping surface can be changed in response to datafrom the wearable sensor. In an example, the speed, volume, pathway,direction, pressure, composition, and/or source of airflow between anupper bed covering and a lower sleeping surface on a first side of a bedcan be selectively changed relative to the speed, volume, pathway,direction, pressure, composition, and/or source of airflow between anupper bed covering and a lower sleeping surface on a second side of thebed. Relevant example variations from other figures discussed herein canalso be applied to the example which is shown in FIG. 86.

FIG. 87 shows another example of how this invention can be embodied in asystem for changing airflow near a sleeping person. This example issimilar to the one shown in FIG. 86 except that it provides anopportunity to earn valuable husband points. Specifically, FIG. 87 showsan example of how this invention can be embodied in a system forchanging airflow near a sleeping wife comprising: (a) a wearableattachment member 8701 that is configured to be worn by a sleeping wife;(b) a wearable sensor 8702 which is part of, or attached to, thewearable attachment member, wherein this wearable sensor collects dataconcerning the wife's body temperature; (c) a power source 8703 which ispart of, or attached to, the wearable attachment member; (d) a wirelessdata transmitter 8704 which is part of, or attached to, the attachmentmember; (e) a wireless device 8705 that is worn by a husband; and (f) anairflow-accelerating member 8707, wherein this airflow-acceleratingmember is moved gently back and forth by the husband to create airflowwhen wireless device 8705 notifies the husband that his wife is having ahot flash. In an example, airflow-accelerating member 8707 can be anostrich feather.

In an example, this invention can be embodied in a system for changingthe temperature of air in close proximity to the body of a sleepingperson comprising: a wearable attachment member that is configured to beworn by a person while they sleep; a wearable sensor which is part of,or attached to, the wearable attachment member, wherein this wearablesensor collects data concerning the person's current body temperatureand/or data used to predict the person's future body temperature; apower source which is part of, or attached to, the wearable attachmentmember; a wireless data transmitter which is part of, or attached to,the attachment member; a wireless data receiver, wherein data from thewearable sensor is transmitted from the wireless data transmitter to thewireless data receiver; a data processing unit which processes data fromthe wearable sensor; and a cooling and/or heating member whose operationchanges the temperature of air in close proximity to the sleeping personin response to data concerning the person's current body temperatureand/or data used to predict the person's future body temperature.

In an example, the wearable attachment member can be selected from thegroup consisting of: adhesive patch, amulet, ankle band, ankle bracelet,ankle strap, arm band, artificial finger nail, bandage, belt, bra,bracelet, cap, cardiac monitor, CPAP or other respiratory mask, ear bud,ear muffs, ear plug, ear ring, ECG monitor, EEG monitor, EMG monitor,electronically-functional tattoo, EOG monitor, eye mask, eye patch,eyewear, finger ring, finger sleeve, fitness band, forearm band, forearmsleeve, glove, hair band, hat, headband, headphones, heart monitor,lower body garment, necklace, pajamas, pants, shirt, sleep band, smartbelt, smart watch, sock, sternal conductance monitor, sternal patch,torso band, underpants, undershirt, wrist band, and wrist sleeve. In anexample, the wearable sensor can be a temperature sensor and/or athermal energy sensor. In an example, the wearable sensor can be atissue conductance sensor and/or a tissue conductivity sensor. In anexample, the wearable sensor can be an EEG sensor and/or anelectromagnetic brain activity sensor.

In an example, the wearable sensor can be selected from the groupconsisting of: action potential sensor, biochemical sensor, blood flowsensor, blood pressure sensor, motion sensor, brain blood flow sensor,camera, capacitance hygrometry sensor, chemiluminescence sensor,chromatography sensor, conductivity sensor, electrocardiographic (ECG)sensor, electroencephalographic (EEG) sensor, electrogastrographic (EOG)monitor, electromagnetic brain activity sensor, electromagneticresistance sensor, electromyographic (EMG) sensor, electrooculographic(EOG) sensor, epinephrine sensor, estradiol sensor, eye movement sensor,fluorescence sensor, follicle-stimulating hormone (FSH) sensor, galvanicskin response (GSR) sensor, gas chromatography sensor, Hall-effectsensor, heart rate sensor, humidity sensor, immunoreactive neurotensinsensor, impedance sensor, inertial motion sensor, infrared light sensor,infrared spectroscopy sensor, ion mobility spectroscopic sensor, lasersensor, light intensity sensor, light-spectrum-analyzing sensor,luteinizing hormone (LH) sensor, magnetic field sensor, magnetometer,mass spectrometry sensor, mean arterial blood pressure sensor, middlecerebral artery blood velocity sensor, muscle function monitor,near-infrared spectroscopy sensor, neural impulse monitor, neurosensor,norepinephrine sensor, optical sensor, optoelectronic sensor,photoelectric sensor, photoplethysmographic sensor, piezocapacitivesensor, piezoelectric sensor, piezoresistive sensor, plethysmographicsensor, pressure sensor, pulse sensor, Raman spectroscopy sensor, REMsensor, respiratory function sensor, RF sensor, skin conductance orconductivity sensor, spectral analysis sensor, spectrometry sensor,spectrophotometer sensor, spectroscopic sensor, sternal skin conductance(SSC) sensor, sweat sensor, sympathetic nerve activity sensor, systolicblood pressure sensor, thermal energy sensor, tissue impedance sensor,ultraviolet light sensor, ultraviolet spectroscopy sensor, variableimpedance sensor, variable resistance sensor, variable-translucencesensor, and voltmeter.

In an example, the values of a first set of parameters concerningcooling and/or heating air in close proximity to a sleeping person canbe changed in response to the values of a second set of parametersconcerning data from one or more wearable sensors. In an example, thevalues of a first set of parameters concerning cooling and/or heatingair in close proximity to a sleeping person can be controlled by thevalues of a second set of parameters concerning data from one or morewearable sensors. In an example, the first set of parameters can beselected from the group consisting of: duration of cooling and/orheating; thermal transfer rate in cooling and/or heating; flow rate forthe flow of air or liquid; target temperature for air or liquid; andtarget temperature for skin and/or body temperature. In an example, thesecond set of parameters can be selected from the group consisting of:value of a metric measured by a wearable sensor at a given point intime; change in value in a metric measured by a wearable sensor during aspan of time; rate of increase in a metric measured by a wearable sensorduring a span of time; pattern of increase in a metric measured by awearable sensor during a span of time; interaction between two metricsmeasured by two different types of wearable sensors; interaction betweena metric measured by a wearable sensor and other characteristics of thesleeping person; and interaction between a metric measured by a wearablesensor and local environmental characteristics.

In an example, the cooling and/or heating member can cool air inproximity to a sleeping person by: (a) extracting thermal energy from aportion of air in a room where the person is sleeping, using acompressor, heat pump, and/or heat exchanger, thereby cooling thatportion of air (b) transferring the extracted thermal energy to a distallocation in the room in which the person is sleeping, and (c) sendingand/or circulating the cooled air in proximity to the person. In anexample, the cooling and/or heating member can cool air in proximity toa sleeping person by: (a) extracting thermal energy from a liquid usinga compressor, heat pump, and/or heat exchanger, thereby cooling thatliquid (b) transferring the extracted thermal energy to a location in aroom that is distal to the person, and (c) sending and/or circulatingthe cooled liquid in proximity to the person. In an example, the coolingand/or heating member can send and/or circulate air or liquid throughchannels which are in thermal communication with ice within an icereservoir.

In an example, the cooling and/or heating member can cool air inproximity to a sleeping person by: (a) extracting thermal energy fromair using a compressor, heat pump, and/or heat exchanger, therebycooling that air; (b) transferring the extracted thermal energy to alocation outside the room in which the person is sleeping; and then (c)sending and/or circulating the cooled air in proximity to the person. Inan example, the cooling and/or heating member can cool air in proximityto a sleeping person by: (a) extracting thermal energy from a liquidusing a compressor, heat pump, and/or heat exchanger, thereby coolingthat liquid; (b) transferring the extracted thermal energy to a locationoutside the room in which the person is sleeping; and then (c) sendingand/or circulating the cooled liquid in proximity to the person.

In an example, the cooling and/or heating member can send and/orcirculate cooled air between a bed covering which is over the sleepingperson and a sleeping surface which is below the sleeping person. In anexample, the cooling and/or heating member can send and/or circulatecooled liquid through channels in a bed covering which is over thesleeping person and/or through channels in a sleeping surface which isbelow the sleeping person. In an example, the cooling and/or heatingmember can selectively send and/or circulate cooled air on either afirst side of a two-person bed or a second side of the two-person bed.In an example, the cooling and/or heating member can selectively sendand/or circulate cooled liquid on a either a first side of a two-personbed or a second side of the two-person bed.

In an example, this invention can be embodied in a system for changingairflow near a sleeping person comprising: a wearable attachment memberthat is configured to be worn by a person while they sleep; a wearablesensor which is part of, or attached to, the wearable attachment member,wherein this wearable sensor collects data concerning the person'scurrent body temperature and/or data used to predict the person's futurebody temperature; a power source which is part of, or attached to, thewearable attachment member; a wireless data transmitter which is partof, or attached to, the attachment member; a wireless data receiver,wherein data from the wearable sensor is transmitted from the wirelessdata transmitter to the wireless data receiver; a data processing unitwhich processes data from the wearable sensor; and anairflow-accelerating member whose operation changes airflow near thesleeping person in response to data concerning the person's current bodytemperature and/or data used to predict the person's future bodytemperature. In an example, the airflow-accelerating member can changeone or more aspects of airflow near the sleeping person which areselected from the group consisting of: airflow speed, airflow volume;airflow pathway; airflow direction; airflow pressure; airflowcomposition; and airflow source.

In an example, this invention can be embodied in a novel, integrated,and interactive sleep environment control system which: uses wearabletechnology to predict when a person will have a hot flash; andproactively provides localized cooling for that person for a limitedtime to alleviate the effects of that hot flash. This system can reduceinterruptions of the person's sleep due to hot flashes and improve theirquality of life.

I claim:
 1. A system for changing the temperature of air in closeproximity to the body of a sleeping person comprising: a head band orcap that is configured to be worn by a person while the person sleeps;an EEG sensor which is part of, or attached to, the head band or cap,wherein the EEG sensor collects data concerning the person's brainactivity; a power source which is part of, or attached to, the head bandor cap; a wireless data transmitter which is part of, or attached to,the head band or cap; a wireless data receiver, wherein data from theEEG sensor is transmitted from the wireless data transmitter to thewireless data receiver; a temperature sensor, wherein the temperaturesensor collects data concerning the person's body temperature; a dataprocessing unit, which uses Fourier Transformation to analyze data fromthe EEG sensor in the Beta frequency band relative to the Deltafrequency band, and wherein the data processing unit uses multivariateanalysis to analyze data from the EEG sensor and the temperature sensorto predict when the person will have a hot flash and to identify whenthe hot flash is over; a blanket with pathways through which cooling airflows, wherein a first subset of the pathways covers a first side of abed, wherein a second subset of pathways covers a second side of thebed, wherein the system selectively sends cooling air through the firstsubset of pathways or the second subset of pathways in order toselectively cool the side of the bed where the person is sleeping whendata from the EEG sensor predicts that the person will have a hot flash;and a cooling member whose operation cools air that flows through thepathways, wherein cooling by the cooling member is turned on when thedata processing unit predicts that the person will have a hot flash andis turned off when the data processing unit indicates that the hot flashis over.
 2. The system in claim 1 wherein the cooling member cools airby: (a) extracting thermal energy from air using a compressor, heatpump, and/or heat exchanger, thereby cooling that air; and (b)transferring the extracted thermal energy to a location outside the roomin which the person is sleeping.
 3. The system in claim 1 wherein thecooling member sends and/or circulates air through channels which are inthermal communication with ice within an ice reservoir.